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SPIRES-BOOKS: FIND KEYWORD SOCIAL SCIENCES METHODOLOGY *END*INIT* use /tmp/qspiwww.webspi1/11100.125 QRY 131.225.70.96 . find keyword social sciences methodology ( in books using www Cover
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Call number:9783319424248:ONLINE Show nearby items on shelf
Title:Non-Equilibrium Social Science and Policy Introduction and Essays on New and Changing Paradigms in Socio-Economic Thinking
Author(s):
Date:2017
Size:1 online resource (VIII, 232 p p.)
Contents:Non-Equilibrium Social Science & Policy -- Economics -- Social Psychology and Narrative Economy -- Sociology and Non-Equilibrium Social Science -- Geography far from Equilibrium -- Cities in Disequilibrium -- The Evolutionary Theory
of Globalization -- Systems, Networks, and Policy -- Towards a Complexity-Friendly Policy: breaking the vicious circle of equilibrium thinking in economic and public policy -- The Information Economy -- Complexity Science & the Art of
Policy Making -- The Complexity of Government -- The Room Around the Elephant: Tackling Context-Dependency in the Social Sciences -- Global Systems Science and Policy -- Index.
ISBN:9783319424248
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Operations research , Decision making , Complexity, Computational , Economic theory , Social sciences , Physics , Data-driven Science, Modeling and Theory Building , Methodology of the Social Sciences , Economic Theory/Quantitative Economics/Mathematical Methods , Operation Research/Decision Theory , Complexity
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Call number:9783319394459:ONLINE Show nearby items on shelf
Title:Maths Meets Myths: Quantitative Approaches to Ancient Narratives
Author(s):
Date:2017
Size:1 online resource (X, 228 p. 64 illus., 47 illus. in color p.)
Contents:Preface -- Foreword -- Introduction -- Cognitive and Network Constraints in Real Life and Literature -- A Networks Approach to Mythological Epics -- Medieval Historical, Hagiographical and Biographical Networks -- Peopling of the New
World from data on distributions of folklore motifs -- Phylogenetics Meets Folklore: Bioinformatic Approaches to the Study of International Folktales -- Analyses of a VirtualWorld -- Ghostscope: Conceptual Mapping of Supernatural
Phenomena in a Large Folklore Corpus -- Complex Networks of Words in Fables -- Analysing and Restoring the Chronology of the Irish Annals -- Mapping Literate Networks in Early Medieval Ireland Quantitative Realities, Social
Mythologies? -- How quantitative methods can shed light on a problem of comparative mythology: The myth of the struggle for supremacy between two groups of deities reconsidered
ISBN:9783319394459
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , History , Medieval philosophy , Historical linguistics , Social sciences , Physics , Applications of Graph Theory and Complex Networks , History, general , Methodology of the Social Sciences , Historical Linguistics , Medieval Philosophy
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Call number:SPRINGER-2016-9783319211060:ONLINE Show nearby items on shelf
Title:Applications of Systems Thinking and Soft Operations Research in Managing Complexity From Problem Framing to Problem Solving
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (61 p.)
Note:10.1007/978-3-319-21106-0
Contents:Part 1: Organizational Theme -- Using systems modeling to examine law enforcement collaboration in the response to serious crime -- Managing Complexity in Organizations through a Systemic Network of Projects -- Family of Related
Systemic Elements (FoRSE™) Matrix: Big(ger) Picture Thinking and Application for Business and Organizations -- Part 2: Disaster Management Theme -- Disentangling wicked problems: a reflexive approach towards resilience governance --
Post-disaster reconstruction – what does it mean to rebuild with resilience -- Black swans, dragon kings and beyond: towards predictability and suppression of extreme all-hazards events through modeling and simulation -- Part 3:
Systems approaches Theme -- Supporting Intelligence Analysis through visual thinking -- The Benefits of systems-thinking approach to accident investigation -- Systems Theory as a foundation for discovery of pathologies from complex
system problem formulation -- Soft (?) social systems and shocks: an experiment with an agent based model -- System Failure? Why humanitarian assistance can’t met its objectives without systems thinking- and why it finds it so hard to
use it -- Using First Nations systems thinking to operationalize sustainable development
ISBN:9783319211060
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Operations research , Decision making , Computer simulation , System safety , Statistical physics , Dynamical systems , Social sciences , Physics , Statistical Physics, Dynamical Systems and Complexity , Operation Research/Decision Theory , Methodology of the Social Sciences , Security Science and Technology , Simulation and Modeling
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Call number:SPRINGER-2014-9784431549741:ONLINE Show nearby items on shelf
Title:Applied Data-Centric Social Sciences [electronic resource] : Concepts, Data, Computation, and Theory
Author(s): Aki-Hiro Sato
Date:2014
Publisher:Tokyo : Springer Japan : Imprint: Springer
Size:1 online resource
Note:Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data onhuman activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book isconstructed from data-oriented investigation, wit h mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physicalconcepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that maychange peoples minds and cause them to start thinking from the basis of data. Several goals underli e the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end theauthor delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and da ta-generating mechanisms, as data are always provided by some kind of data-generating process in the real world.The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems
Contents:Introduction
Introduction
Framework
Methodology
Mathematical expressions
Data in computers
Exemplar studies
Risk assessment of extreme events
Segmentation study of foreign exchange market
Hotel booking data
Tendency of international air travels
Energy consumption
Future work
Future research in applied data
centric social sciences
ISBN:9784431549741
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics
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Call number:SPRINGER-2014-9783319066929:ONLINE Show nearby items on shelf
Title:Analysis and Modeling of Complex Data in Behavioral and Social Sciences [electronic resource]
Author(s): Donatella Vicari
Akinori Okada
Giancarlo Ragozini
Claus Weihs
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challengingproposals provide a connec tion between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems. The papers in this volume stemfrom contributions initially presented at the jo int international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Societyhad a stimulating scientific discussion and exchange
Contents:Time
frequency Filtering for Seismic Waves Clustering
Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement
Clustering of Stratified Aggregated Data using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893
1919)
Estimating a Rasch Model via Fuzzy Empirical Probability Functions
Scale Reliability Evaluation for a
priori Clustered Data
An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method. The IQuEL Italian Project
A New Index for the
ISBN:9783319066929
Series:eBooks
Series:SpringerLink
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Social sciences Methodology
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Call number:SPRINGER-2014-9783319053202:ONLINE Show nearby items on shelf
Title:Contributions to Sampling Statistics [electronic resource]
Author(s): Fulvia Mecatti
Pier Luigi Conti
Maria Giovanna Ranalli
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013. ITACOSM is the bi-annual meeting of the Survey Sampling Group S2G of the Italian Statistical Society, intended asan international forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human and natural sciences. The book gathers research paperscarefully selected fromboth invited and contributed sessions of the co nference. The whole book appears to bearelevant contribution to various key aspects of sampling methodology and techniques it dealswith some hot topics in sampling theory, suchascalibration, quantile-regression and multiple frame surveys, and with innovat ive methodologies in important topics of both sampling theory and applications.Contributions cut across current sampling methodologies such as intervalestimation for complex samples, randomized responses, bootstrap, weighting, modeling, imputation, small area estimationand effective use of auxiliary information applications cover a wide and enlarging range of subjects in officialhousehold surveys, Bayesian networks for measurement error,auditing,business and economicsurveys, geostatistics and agricultural statistics. The book is an updated, high level reference addressed to researchers, professionalsand practitioners in many fields
Contents:1 P.S. Kott: Calibration Weighting When Model and Calibration Variables Can Differ
2 M. Pratesi: M
quantile small area models for measuring poverty at a local level
3 A.C. Singh
4 J.F. Beaumont: The Analysis of Survey Data using the Bootstrap
5 Y.G. Berger, O. De La Riva Torres: Empirical likelihood confidence intervals: an application to the EU
SILC household surveys
6 A. Bianchi, S. Biffignandi: Responsive design for economic data in mixedmode panels
7 P.M. Chiodini, M.Zenga: Comparing the efficiency of sample plans for symmetric and non
symmetric distributions in auditing
ISBN:9783319053202
Series:eBooks
Series:SpringerLink
Series:Contributions to Statistics, 1431-1968
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Mathematical statistics , Statistics , Social sciences Methodology
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Call number:SPRINGER-2014-9783319048796:ONLINE Show nearby items on shelf
Title:Networks of Echoes [electronic resource] : Imitation, Innovation and Invisible Leaders
Author(s): Bruce J West
Malgorzata Turalska
Paolo Grigolini
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Networks of Echoes: Imitation, Innovation and Invisible Leaders is a mathematically rigorous and data rich book on a fascinating area of the science and engineering of social webs. There are hundreds of complex networkphenomena whose statistical prop erties are described by inverse power laws. The phenomena of interest are not arcane events that we encounter only fleetingly, but are events that dominate our lives. We examine how this intermittentstatistical behavior intertwines itself with what appear s to be the organized activity of social groups. The book is structured as answers to a sequence of questions such as: How are decisions reached in elections and boardrooms?How is the stability of a society undermined by zealots and committed minorities, and how is that stability re-established? Can we learn to answer such questions about human behavior by studying the way flocks of birds retain theirformation when eluding a predator? These questions and others are answered using a generic model of a comp lex dynamic networkone whose global behavior is determined by a symmetric interaction among individuals based on socialimitation.The complexity of the network is manifest in time series resulting from self-organized critical dynamics that have divergent f irst and second moments, are non-stationary, non-ergodic, and non-Poisson. How phasetransitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general. Thedecision making model (DMM) is selected to emphasize that there are features of complex webs that supersede specific mechanisms and need to be understood from a general perspective. This insight ful overview of recent tools and theiruses may serve as an introduction and curriculum guide in related courses
Contents:Networking Perspective
Complexity Primer
A Model of Decision Making
Criticality and Crowds
Networks of Influence
Critical Networks
ISBN:9783319048796
Series:eBooks
Series:SpringerLink
Series:Computational Social Sciences
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences Data processing , Mathematics , Social sciences Methodology
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Call number:SPRINGER-2014-9781461491552:ONLINE Show nearby items on shelf
Title:Handbook on the History of Mathematics Education [electronic resource]
Author(s): Alexander Karp
Gert Schubring
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This is the first comprehensive International Handbook on the History of Mathematics Education, covering a wide spectrum of epochs and civilizations, countries and cultures. Until now, much of the research into the rich and variedhistory of mathemati cs education has remained inaccessible to the vast majority of scholars, not least because it has been written in the language, and for readers, of an individual country. And yet a historical overview, howeverbrief, has become an indispensable element of nearly every dissertation and scholarly article. This handbook provides, for the first time, a comprehensive and systematic aid for researchers around the world in finding the informationthey need about historical developments in mathematics education, no t only in their own countries, but globally as well. Although written primarily for mathematics educators, this handbook will also be of interest to researchers of thehistory of education in general, as well as specialists in cultural and even social hist ory
Contents:Part 1. History and Methodology of the Field
1.On historiography of teaching and learning mathematics
2.The History of Mathematics Education: Developing a Research Methodology
Part 2.Mathematics Education in Different Epochs and in Different Regions: Antiquity and the Middle Ages
3.Mathematics Education in Antiquity
4.Mathematics Education in Oriental Antiquity and the Middle Ages
5.Teaching the Mathematical Sciences in Islamic Societies, 8th
17th Centuries
6.Mathematics Education in the European Middle Ages
Part 3.Mathematics Education in Different Epochs and in Differ
ISBN:9781461491552
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2013-9783642329142:ONLINE Show nearby items on shelf
Title:Applied Panel Data Analysis for Economic and Social Surveys [electronic resource]
Author(s): Hans-Jrgen Andre
Katrin Golsch
Alexander W Schmidt
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, andmodel these kinds of dat a. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and randomeffects models, models for change scores and even t history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader throughdata provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right modelin applied research. The textbook is directed at master and doctoral students as wellas applied researchers in the social sciences, psychology, business administration and economics . Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation
Note:Springer eBooks
Contents:Introduction: Benefits and challenges of the panel design
Outline of the book
Audience and prerequisites
Acknowledgements
Managing panel data: The nature of panel data
The basics of panel data management
Three case studies on poverty in Germany
How to represent a population with panel data?
Conclusion and further reading
Describing and modeling panel data: Some basic terminology
Measurements over time are not independent
Describing the dependent variable
Explaining the dependent variable over time: typical explanatory variables
Modeling panel data
Est
ISBN:9783642329142
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2013-9783642314360:ONLINE Show nearby items on shelf
Title:Complex Human Dynamics [electronic resource] : From Mind to Societies
Author(s): Andrzej Nowak
Katarzyna Winkowska-Nowak
David Bre
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book, edited and authored by a closely collaborating network of social scientists and psychologists, recasts typical research topics in these fields into the language of nonlinear, dynamic and complex systems. The aim is toprovide scientists wit h different backgrounds - physics, applied mathematics and computer sciences - with the opportunity to apply the tools of their trade to an altogether new range of possible applications. At the same time, thisbook will serve as a first reference for a new generation of social scientists and psychologists wishing to familiarize themselves with the new methodology and the thinking in complexity
Note:Springer eBooks
Contents:Preface
Dynamical Social Psychology: An Introduction
Understanding Cognition Through Functional Connectivity
A Dynamical Systems Approach to Conceptualizing and Investigating the Self
Novelty Recognition Models
The Dynamics of Patterns of Commitment in Sports
Conflict and the Complexity of Cognitive Processes
Social Entrepreneurs Open Closed Worlds: The Transformative Influence of Weak Ties
A Dynamic Approach to Multicultural Integration
Social Change Initiated by Social Entrepreneurs
Interpersonal Fluency: Toward a Model of Coordination and Affect in Social Relat
ISBN:9783642314360
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences , Engineering , Social sciences Methodology , Consciousness
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Call number:SPRINGER-2013-9783642213083:ONLINE Show nearby items on shelf
Title:Survey Data Collection and Integration [electronic resource]
Author(s): Cristina Davino
Luigi Fabbris
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackledmost of the methodologic al issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from themethodology or do not have a specific soluti on at all. This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinionquestionnaire design, and statistical estimation. Formal rigour a nd simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested inscientific developments in the survey field
Note:Springer eBooks
Contents:Part 1: Introduction to Statistical Surveys: Critical Points, Challenges and Need for Development (Luigi Biggeri)
Part 2: Questionnaire Design: Measurement Scales for Scoring or Ranking Sets of Interrelated Items (Luigi Fabbris)
Assessing MultiItem Scales for Subjective Measurement (Cristina Davino and Rosaria Romano)
Statistical Tools in the Joint Analysis of Closed and OpenEnded Questions (Simona Balbi and Nicole Triunfo)
The Use of SelfAnchoring Scales in Social Research: The Cantril Scale for the Evaluation of Community Action Orientation (Immacolata Di Napoli and Cate
ISBN:9783642213083
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Social sciences Methodology
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Call number:SPRINGER-2013-9783540938132:ONLINE Show nearby items on shelf
Title:Simulating Social Complexity [electronic resource] : A Handbook
Author(s): Bruce Edmonds
Ruth Meyer
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate forrelating intricate cause an d effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. Simulating Social Complexity examines all aspects of usingagent- or individual-based simulation. This approac h represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation representinteractions in the target systems. What makes these elements social is that the y are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to includesocial animals or artificial agents where such work enhances our understanding of human society. The phenome na of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usuallynot easily simplifiable by, for example, considering only representative actors. The introduction of accessible agent-based modell ing allows the representation of social complexity in a more natural and direct manner than previoustechniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analyt ic tractability. This makes agent-based modelling relatively accessible to arange of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders. This handbook is intende d to help in the process of maturation of this newfield. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this a
Note:Springer eBooks
Contents:Introduction
Methodology
Mechanisms
Applictions
ISBN:9783540938132
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Computer science , Electronic data processing , Social sciences Data processing , Animal behavior , Mathematics , Social sciences
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Call number:SPRINGER-2013-9781461487159:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Panel Count Data [electronic resource]
Author(s): Jianguo Sun
Xingqiu Zhao
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multipletimes or repeatedly. Exa mples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield eventhistory data too such as demographic studies, eco nomic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This bookcollects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of thereader, the applications of the methods to real data are also discussed along with numerical calculation s. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature onthe analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count datato answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.
Note:Springer eBooks
Contents:Introduction
Poisson Models and Parameter Inference
Nonparametric Estimation
Nonparametric Comparison of Point Processes
Regression Analysis of Panel Count Data I and II
Analysis of Multivariate Panel Count Data
Other Topics
Some Sets of Data
References
Index
ISBN:9781461487159
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776 : v80
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461472421:ONLINE Show nearby items on shelf
Title:Complex Systems and Society [electronic resource] : Modeling and Simulation
Author(s): Nicola Bellomo
Giulia Ajmone Marsan
Andrea Tosin
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more thanever in order to bette r understand many real-world problems we face today. On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way on the otherhand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research. With this goal in mind, this work isdesigned to take into account a multidisciplinary approach that will e ncourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes: Demystifying andunravelling complex systems Introducing models of individual behaviours in the social and economic sciences Modelling socio-economic sciences as complex living systems. Specific tools examined in the work include a recentlydeveloped modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to mod eling Darwinian evolution. Special attention is also devoted to social network theory as a fundamentalinstrument for the understanding of socio-economic systems
Note:Springer eBooks
Contents:1. The Role of Individual Behaviors in Socio
Economic Sciences
2. Mathematical Tools for Modeling Social Complex Systems
3. Modeling Cooperation and Competition in Socio
Economic Systems
4. Welfare Policy: Applications and Simulations
5. Forward Look at Research Perspectives
References
ISBN:9781461472421
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Mathematics, 2191-8198
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Economics, Mathematical , Social sciences
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Call number:SPRINGER-2013-9781461460404:ONLINE Show nearby items on shelf
Title:Strategic Economic Decision-Making [electronic resource] : Using Bayesian Belief Networks to Solve Complex Problems
Author(s): Jeff Grover
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems is a quick primer on the topic that introduces readers to the basic complexities and nuances associated with learning Bayes theoryand inverse probability for the first time. This brief is meant for non-statisticians who are unfamiliar with Bayes theorem,walkingthem through the theoretical phases of set and sample set selection, the axioms of probability,probability theory as it pertains to Bayes theorem, and posterior probabilities. All of these concepts are explained as they appear in the methodology of fitting a Bayes model, and upon completion of the text readers will be ableto mathematically determine posterior probabilities of multiple independent nodes across any system available for study. Very little has been published in the area of discrete Bayes theory, and this brief will appeal tonon-statisticians conducting research in the fields of engineering, computing, life sciences, and social sciences.
Note:Springer eBooks
Contents:Strategic Economic Decision Making: The Use of Bayesian Belief Networks (BBN) in Solving Complex Problems
A Literature Review of Bayes Theorem and Bayesian Belief Networks (BBN)
Statistical Properties of Bayes Theorem
Bayes Belief Networks (BBN) Experimental Protocol
Manufacturing Example
Political Science Example
Gambling Example
Publicly Traded Company Default Example
Insurance Risk Levels Example
Acts of Terrorism Example
Currency Wars Example
College Entrance Exams Example
Special Forces Assessment and Selection (SFAS) One
Stage Example
Special
ISBN:9781461460404
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Statistics, 2191-544X : v9
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461455745:ONLINE Show nearby items on shelf
Title:Models, Algorithms, and Technologies for Network Analysis [electronic resource] : Proceedings of the First International Conference on Network Analysis
Author(s): Boris Goldengorin
Valery A Kalyagin
Panos M Pardalos
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume contains a selection of contributions from the First International Conference in Network Analysis, held at the University of Florida, Gainesville, on December 14-16, 2011. The remarkable diversity of fields thattake advantage of Network A nalysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of this volume is to overcome this difficulty by collecting the majorresults found by the participants and combining them i n one easily accessible compilation. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described andanalyzed by means of a network is bringing together researchers, practitioners an d other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. Thecontributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, andapplications
Note:Springer eBooks
ISBN:9781461455745
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v32
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Combinatorics , Mathematical optimization
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Call number:SPRINGER-2012-9783642290008:ONLINE Show nearby items on shelf
Title:Why Society is a Complex Matter [electronic resource] : Meeting Twenty-first Century Challenges with a New Kind of Science
Author(s): Philip Ball
Date:2012
Edition:1
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
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Note:Society is complicated. But this book argues that this does not place it beyond the reach of a science that can help to explain and perhaps even to predict social behaviour. As a system made up of many interacting agents people, groups, institutions and governments, as well as physical and technological structures such as roads and computer networks society can be regarded as a complex system. In recent years, scientists have made great progress inunderstanding how such complex systems operate, rang ing from animal populations to earthquakes and weather. These systems show behaviours that cannot be predicted or intuited by focusing on the individual components, but which emergespontaneously as a consequence of their interactions: they are said to be self-organized. Attempts to direct or manage such emergent properties generally reveal that top-down approaches, which try to dictate a particularoutcome, are ineffectual, and that what is needed instead is a bottom-up approach that aims to guide self-org anization towards desirable states. This book shows how some of these ideas from the science of complexity can beapplied to the study and management of social phenomena, including traffic flow, economic markets, opinion formation and the growth and struct ure of cities. Building on these successes, the book argues that the complex-systems view ofthe social sciences has now matured sufficiently for it to be possible, desirable and perhaps essential to attempt a grander objective: to integrate these efforts into a unified scheme for studying, understanding and ultimatelypredicting what happens in the world we have made. Such a scheme would require the mobilization and collaboration of many different research communities, and would allow society and its inter actions with the physical environment to beexplored through realistic models and large-scale data collection and analysis. It should enable us to find new and effective solutions
Note:Springer eBooks
Contents:Society: a Complex Problem
On the Road: Predicting traffic
Every Move You Make: Patterns of crowd movement
Making Your Mind Up: Norms and decisions
Broken Windows: The spread and control of crime
The Social Web: Networks and their failures
Spreading It Around: Mobility, disease and epidemics
After the Crash: Economic and financial systems
Love Thy Neighbour: How to foster cooperation
Living Cities: Urban development as a complex system
The Transformation of War: Modelling modern conflict
Towards a Living Earth Simulator: The FuturICT Project
ISBN:9783642290008
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences Data processing , Engineering , Economics , Social sciences Methodology
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Call number:SPRINGER-2012-9783642289996:ONLINE Show nearby items on shelf
Title:Why Society is a Complex Matter [electronic resource]
Author(s): Philip Ball
Date:2012
Edition:1
Publisher:Springer Berlin Heidelberg
Size:1 online resource
Note:Popular science
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9783642289996
Series:e-books
Keywords: Socio- and Econophysics, Population and Evolutionary Models , Methodology of the Social Sciences , Complexity , Computer Appl. in Social and Behavioral Sciences , Economic Systems , Communication Studies
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Call number:SPRINGER-2012-9783642230684:ONLINE Show nearby items on shelf
Title:Models of Science Dynamics [electronic resource] : Encounters Between Complexity Theory and Information Sciences
Author(s): Andrea Scharnhorst
Katy Brner
Peter Besselaar
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Models of science dynamics aim to capture the structure and evolution of science. They are developed in an emerging research area in which scholars, scientific institutions and scientific communications become themselves basicobjects of research. In order to understand phenomena as diverse as the structure of evolving co-authorship networks or citation diffusion patterns, different models have been developed. They include conceptual models based onhistorical and ethnographic observations, mathematica l descriptions of measurable phenomena, and computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and acomprehensive research agenda. This book aims to fill this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented herecover stochastic and statistical models, game-theoretic approaches, agent-based simulations, populati on-dynamics models, and complex network models. The book starts with a foundational chapter that defines and operationalizesterminology used in the study of science, and a review chapter that discusses the history of mathematical approaches to modeling sc ience from an algorithmic-historiography perspective. It concludes with a survey of future challengesfor science modeling and discusses their relevance for science policy and science policy studies
Note:Springer eBooks
Contents:Part I Foundations
An Introduction to Modeling Science: Basic Model Types, Key Definitions, and a General Framework for the Comparison of Process Models
Mathematical Approaches to Modeling Science From an Algorithmic
historiography Perspectice
Part II Exemplary Model Type
Knowledge Epidemics and Population Dynamics Models for Describing Idea Diffusion
Agent
based Models of Science
Evolutionary Game Theory and Complex Networks of Scientific Information
Part III Exemplary Model Applications
Dynamic Scientific Co
authorship Networks
Citation Networks
Part IV Outlook
ISBN:9783642230684
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences , Engineering , Social sciences Methodology
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Call number:SPRINGER-2012-9783642230677:ONLINE Show nearby items on shelf
Title:Models of Science Dynamics [electronic resource]
Author(s): Andrea Scharnhorst
Katy Bner
Peter Besselaar
Date:2012
Publisher:Springer Berlin Heidelberg
Size:1 online resource
Note:Monograph
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9783642230677
Series:Understanding Complex Systems
Series:e-books
Keywords: Methodology of the Social Sciences , Socio- and Econophysics, Population and Evolutionary Models , Information Systems Applications (incl.Internet) , Complexity
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Call number:SPRINGER-2012-9781461422785:ONLINE Show nearby items on shelf
Title:Advances in Meta-Analysis [electronic resource]
Author(s): Terri D Pigott
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:

Meta-analysis is used increasingly in the social sciences to synthesize research results. As both primary research and the questions addressed by meta-analysis have been grown more complex, meta-analysis techniques haveevolved to address these iss ues. This book covers a number of advances in meta-analysis that are not covered in detail in many introductory books on research synthesis. More specifically, this book discusses the planning of ameta-analysis for complex questions, computing power for t ests in meta-analysis, handling missing data in meta-analysis, integrating individual data into a traditional meta-analysis and generalizing from the results of ameta-analysis. For each topic, a fully annotated example is provided with sample computer pro grams for the major statistical packages. This book assumes a familiarity with basic meta-analytic techniques. The goal of the book isto provide researchers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analy sis with complex data.

Terri D. Pigott is a Professor of Research Methodology in Loyola UniversityChicagos School of Education. Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy.. < /p>

Note:Springer eBooks
Contents:

Rationale and overview of the book

Complexities of primary research and meta
analysis
Fixed, random, and mixed models
Correlations
Effect sizes
Proportion/odds ratio data
Dependence in primary research and meta
analysis
Correlations
Effect sizes (group comparisons and change measures)
Proportion/odds ratio data
Bayesian approaches
Missing data
Combining across designs
Qualitative studies in synthesis
Quality assessments
Studies on quality weighting
Summary/Conclusions.

ISBN:9781461422785
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2011-9783790823752:ONLINE Show nearby items on shelf
Title:Statistical Methods for the Evaluation of University Systems [electronic resource]
Author(s): Massimo Attanasio
Vincenza Capursi
Date:2011
Publisher:Heidelberg : Physica-Verlag HD
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined include: statistical methods for constructing composite indicators, applied measurements,assessment of education al systems, measurement of the performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing different assessment criteriaand procedures to the Italian university sys tem
Note:Springer eBooks
Contents:Part I
Introduction: Different Perspectives of the Evaluation of the Italian University System
Part II
The Evaluation in the Italian Universities. Student Teaching Evaluation
Part III
The Evaluation in the Italian Universities. Statistical Methods for Careers and Services Evaluation
Part IV
Research Design and data for Evaluation: University between the High School and the Labour Market
ISBN:9783790823752
Series:e-books
Series:SpringerLink (Online service)
Series:Contributions to Statistics, 1431-1968
Series:Mathematics and Statistics (Springer-11649)
Keywords: Education , Educational tests and measurements , Statistics , Social sciences Methodology
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Call number:SPRINGER-2011-9783642204234:ONLINE Show nearby items on shelf
Title:Viability and Resilience of Complex Systems [electronic resource] : Concepts, Methods and Case Studies from Ecology and Society
Author(s): Guillaume Deffuant
Nigel Gilbert
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:One common characteristic of a complex system is its ability to withstand major disturbances and the capacity to rebuild itself. Understanding how such systems demonstrate resilience by absorbing or recovering from major externalperturbations require s both quantitative foundations and a multidisciplinary view of the topic. This book demonstrates how new methods can be used to identify the actions favouring the recovery from perturbations on a variety ofexamples including the dynamics of bacterial bio films, grassland savannahs, language competition and Internet social networking sites. The reader is taken through an introduction to the idea of resilience and viability and shown themathematical basis of the techniques used to analyse systems. The idea of individual or agent-based modelling of complex systems is introduced and related to analytically tractable approximations of such models. A set of case studiesillustrates the use of the techniques in real applications, and the final section describes h ow one can use new software tools for carrying out the necessary calculations. The book is intended for a general scientific audience ofreaders from the natural and social sciences, although it requires some mathematics to gain a full understanding of the more theoretical chapters. It is an essential point of reference for those interested in the practical applicationof the concepts of resilience and viability
Note:Springer eBooks
Contents:Preface
Part I Concepts
What is Resilience? A Short Introduction
Defining Resilience Mathematically: From Attractors to Viability
Part II Case Studies
Viability and Resilience in the Dynamics of Language Competition
Viable Web Communities:Two Case Studies
Computational Savanna Models and Viability Based Resilience
Viability and Resilience of a Bacterial Biofilm Individual
Based Model
Part III Tools and Techniques
Approximating Viability Kernels and Resilience Values with KAVIAR
Geometric Robustness of Viability Kernels and Resilience Basins
ISBN:9783642204234
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences , Computer simulation , Ecology , Mathematics , Social sciences Methodology
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Call number:SPRINGER-2011-9783642162183:ONLINE Show nearby items on shelf
Title:Evolutionary Statistical Procedures [electronic resource] : An Evolutionary Computation Approach to Statistical Procedures Designs and Applications
Author(s): Roberto Baragona
Francesco Battaglia
Irene Poli
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design ofevolutionary algorithms and stat istical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimatorsdo not follow mathematically simple distributions is u nderway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood meansof approximating the optimum value in a variety of settings. The proposed t ext seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (includingboth stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard stati stical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work forstatistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer scie nce
Note:Springer eBooks
Contents:Introduction
Evolutionary Computation
Evolving Regression Models
Time Series Linear and Nonlinear Models
Design of Experiments
Outliers
Cluster Analysis
ISBN:9783642162183
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics and Computing, 1431-8784
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Medical laboratories , Computer vision , Algorithms , Mathematical statistics , Social sciences Methodology
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Call number:SPRINGER-2011-9781461406853:ONLINE Show nearby items on shelf
Title:R for SAS and SPSS Users [electronic resource]
Author(s): Robert A Muenchen
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:R is a powerful and free software system for data analysis and graphics, with over 4,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of theadd-on packages are m ost like SAS and SPSS and compares them to R's built-in functions. It steps through over 50 programs written in all three packages, comparing and contrasting the packages' differing approaches. The glossary definesR terms using SAS/SPSS terminology and ag ain using R terminology. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. The second edition adds 216 pages ofnew topics. I found the book extremely helpfulThe material is la id out in a way that makes it very accessible. Because of this I recommend this book to any R user regardless of his or her familiarity with SAS or SPSS...For new Rusers it will demystify many aspects, and for existing R users it will have many answers to those questions you have been too afraid to ask in public. --The American Statistician an excellent introduction to Rthe bookmeticulously covers data management, data structures, programming, graphics and basic statistical analysis in R. The prose is cle ar, the examples tied to their SPSS and SAS analogs. The handling of both traditional and newerggplot2 graphics is comprehensive: SPSS and SAS users will undoubtedly find lots to like. --Information Management As a long time SAS user this book makes the task of transition to R much more palatable and appealing. Italso greatly reduces the time to get up and running in R effectively. --Technometrics It is great to see this book in a second edition. It serves nicely as an introduction to R, irrespective of whether they are familiar with SASor SPSS. I have long been a fan of programming by example and the book is full of excellent ones. --Graham Williams, Author, Data M
Note:Springer eBooks
Contents:Introduction
Installing and Updating R
Running R
Help and Documentation
Programming Language Basics
Data Acquisition
Selecting Variables
Selecting Observations
Selecting Variables and Observations
Data Management
Enhancing Your Output
Generating Data
Managing Your Files and Workspace
Graphics Overview
Traditional Graphics
Graphics with ggplot2
Statistics
Conclusion
ISBN:9781461406853
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics and Computing, 1431-8784
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Data mining , Computer graphics , Mathematical statistics , Social sciences Methodology , Psychological tests and testing
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Call number:SPRINGER-2011-9781441993892:ONLINE Show nearby items on shelf
Title:Looking Back [electronic resource] : Proceedings of a Conference in Honor of Paul W. Holland
Author(s): Neil J Dorans
Sandip Sinharay
Date:2011
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring his contributions to applied and theoretical psychometricsand statistics. Lookin g Back attracted a large audience that came to pay homage to Paul Holland and to hear presentations by colleagues who worked with him in special ways over those 40+ years. This book contains papers based on thesepresentations, as well as vignettes provide d by Paul Holland before each section. The papers in this book attest to how Paul Holland's pioneering ideas influenced and continue to influence several fields such as social networks, causalinference, item response theory, equating, and DIF. He applied statistical thinking to a broad range of ETS activities in test development, statistical analysis, test security, and operations. The original papers contained in thisbook provide historical context for Paul Hollands work alongside commentary on some of h is major contributions by noteworthy statisticians working today
Note:Springer eBooks
Contents:The Contributions of Paul Holland
Algebraic Statistics for p1 Random Graph Models
Mr. Holland's Networks: A Brief Review of the Importance of Statistical Studies of Local Subgraphs or One Small Tune in a Large Opus
Some of My Favorite Things About Working at ETS
Bayesian Analysis of a Two
Group Randomized Encouragement Design
The Role of Nonparametric Analysis in Assessment Modeling: Then and Now
What Aspects of the Design of an Observational Study Affect Its Sensitivity to Bias From Covariates That Were Not Observed?
The Origins of Procedures for Using Differential Item F
ISBN:9781441993892
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v202
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematics , Educational tests and measurements , Social sciences Methodology , Psychometrics
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Call number:SPRINGER-2011-9781441983428:ONLINE Show nearby items on shelf
Title:Dynamic Mixed Models for Familial Longitudinal Data [electronic resource]
Author(s): Brajendra C Sutradhar
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model thelongitudinal correlati ons for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized todevelop theoretically sound inference techniq ues such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existingworking correlations based GEE (generalized estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is notsuitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal datacollected from the members of a large number of independent families by using the class of auto-correlation structures conditiona l on the random effects. The book also provides models and inferences for discrete longitudinal data inthe adaptive clinical trial set up. The book is mathematically rigorous and provides details for the development of estimation approaches under selected familial and longitudinal models. Further, while the book provides special caresfor mathematics behind the correlation models, it also presents the illustrations of the statistical analysis of various real life data. This book will be of interest to the researchers including graduate students in biostatistics andeconometrics, among other applied statistics research areas. Brajendra Sutradhar is a University Research Professor at Memorial Universi
Note:Springer eBooks
Contents:Introduction
Overview of Linear Fixed Models for Longitudinal Data
Overview of Linear Mixed Models for Longitudinal Data
Familial Models for Count Data
Familial Models for Binary Data
Longitudinal Models for Count Data
Longitudinal Models for Binary Data
Longitudinal Mixed Models for Count Data
Longitudinal Mixed Models for Binary Data
Familial Longitudinal Models for Count Data
Familial Longitudinal Models for Binary Data
ISBN:9781441983428
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Biometrics , Statistical methods , Mathematical statistics , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2011-9781441978653:ONLINE Show nearby items on shelf
Title:Time Series Analysis and Its Applications [electronic resource] : With R Examples
Author(s): Robert H Shumway
David S Stoffer
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problemssuch as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed to be useful as a text forgraduate level students in the physical, biological and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allowpresentations on different levels. In addition to coverage of class ical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical timeseries analysis, multivariate spectral methods, long memory series, nonlinear models, resamplin g techniques, GARCH models, stochastic volatility, wavelets and Markov chain Monte Carlo integration methods. The third edition includes anew section on testing for unit roots and the material on state-space modeling, ARMAX models, and regression with aut ocorrelated errors has been expanded. Also new to this edition is the enhanced use of the freeware statistical packageR. In particular, R code is now included in the text for nearly all of the numerical examples. Data sets and additional R scripts are now provided in one file that may be downloaded via the World Wide Web. This R supplement is asmall compressed file that can be loaded easily into R making all the data sets and scripts available to the user with one simple command. The website for the text includes the code used in each example so that the reader may simplycopy-and-paste code directly into R. Appendix R, which is new to this edition, provides a reference for the data sets an
Note:Springer eBooks
Contents:Characteristics of time series
Time series regression and exploratory data analysis
ARIMA models
Spectral analysis and filtering
Additional time domain topics
State
space models
Statistical methods in the frequency domain
ISBN:9781441978653
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2010-9781441917645:ONLINE Show nearby items on shelf
Title:Advances in Social Science Research Using R [electronic resource]
Author(s): Hrishikesh D Vinod
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book covers recent advances for quantitative researchers with practical examples from social sciences. The twelve chapters written by distinguished authors cover a wide range of issues--all providing practical tools usingthe free R software. McC ullough: R can be used for reliable statistical computing, whereas most statistical and econometric software cannot. This is illustrated by the effect of abortion on crime. Koenker: Additive models provide aclever compromise between parametric and non-par ametric components illustrated by risk factors for Indian malnutrition. Gelman: R graphics in the context of voter participation in US elections. Vinod: New solutions to the old problemof efficient estimation despite autocorrelation and heteroscedasticity among regression errors are proposed and illustrated by the Phillips curve tradeoff between inflation and unemployment. Markus and Gu: New R tools for exploratorydata analysis including bubble plots. Vinod, Hsu and Tian: New R tools for portfolio selecti on borrowed from computer scientists and data-mining experts relevant to anyone with an investment portfolio. Foster and Kecojevic: Extendsthe usual analysis of covariance (ANCOVA) illustrated by growth charts for Saudi children. Imai, Keele, Tingley, and Yamamoto: New R tools for solving the age-old scientific problem of assessing the direction and strength of causation.Their job search illustration is of interest during current times of high unemployment. Haupt, Schnurbus, and Tschernig: Consider the ch oice of functional form for an unknown, potentially nonlinear relationship, explaining a set of newR tools for model visualization and validation. Rindskopf: R methods to fit a multinomial based multivariate analysis of variance (ANOVA) with examples from psychology, sociology, political science, and medicine. Neath: R tools forBayesian posterior distributions to study increased disease risk in proximity to a hazardous waste site. Numatsi and Rengifo:
Note:Springer eBooks
Contents:Econometric Computing with R
Additive Models for Quantile Regression: An Analysis of Risk Factors for Malnutrition in India
Toward better R defaults for graphics: Example of voter turnouts in US elections
Superior Estimation and Inference Avoiding Heteroscedasticity and Flawed Pivots: R
example of Inflation Unemployment Trade
Off
Bubble Plots as a Model
Free Graphical Tool for Continuous Variables
Combinatorial Fusion for Improving Portfolio Performance
Reference growth charts for Saudi Arabian children and Adolescents
Causal Mediation Analysis Using R
Statistical val
ISBN:9781441917645
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v196
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Finance , Economics Statistics , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2010-9781441912138:ONLINE Show nearby items on shelf
Title:Design of Observational Studies [electronic resource]
Author(s): Paul R Rosenbaum
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatmentson people, including me dicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design ofObservational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided intofour parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discussesthe practical aspects of using propensity scores and other tools to create a matched compari son that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used toappraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured cova riates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir RonaldFishers striking advice for observational studies, make your theories elaborate. Paul R. Rosenbaum is the Robert G. Putzel Professor of Stati stics at the Wharton School of the University of Pennsylvania. He is a fellow of theAmerican Statistical Association. In 2003, he received the George W. Snedecor Award from the Committee of Presidents of Statistical Societies. He is a senior fellow of the Leonard Davis Institute of Health Economics and a ResearchAssociate at the Population Studies Center, both at the University of Pennsylvania. The second edition of his book, Observational Studi
Note:Springer eBooks
Contents:Beginnings
Dilemmas and Craftsmanship
Causal Inference in Randomized Experiments
Two Simple Models for Observational Studies
Competing Theories Structure Design
Opportunities, Devices, and Instruments
Transparency
Matching
A Matched Observational Study
Basic Tools of Multivariate Matching
Various Practical Issues in Matching
Fine Balance
Matching Without Groups
Risk
Set Matching
Matching in R
Design Sensitivity
The Power of a Sensitivity Analysis and Its Limit
Heterogeneity and Causality
Uncommon but Dramatic Responses to Treatment
Antic
ISBN:9781441912138
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Statistical methods , Mathematical statistics , Econometrics , Social sciences Methodology , Psychological tests and testing
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Call number:SPRINGER-2010-9781441907424:ONLINE Show nearby items on shelf
Title:Bayesian Item Response Modeling [electronic resource] : Theory and Applications
Author(s): Jean-Paul Fox
Date:2010
Edition:First
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computingtechnology have made th e Bayesian approach particularly useful for many response modeling problems. Free from computational constraints, realistic and state-of-the-art latent variable response models are considered for complexassessment and survey data to solve real-world probl ems. The Bayesian framework described provides a unified approach for modeling and inference, dealing with (nondata) prior information and information across multiple data sources.The book discusses methods for analyzing item response data and the complex relationships commonly associated with human response behavior and features Self-contained introduction to Bayesian item response modeling and a coverageof extending standard models to handle complex assessment data A thorough overview of Bayesian esti mation and testing methods for item response models, where MCMC methods are emphasized Numerous examples that cover a wide rangeof application areas, including education, medicine, psychology, and sociology Datasets and software (S+, R, and WinBUGS code ) of the models and methods presented in the book are available on www.jean-paulfox.com Bayesian ItemResponse Modeling is an excellent book for research professionals, including applied statisticians, psychometricians, and social scientists who analyze it em response data from a Bayesian perspective. It is a guide to the growing areaof Bayesian response modeling for researchers and graduate students, and will also serve them as a good reference. Jean-Paul Fox is Associate Professor of Measurement and Data Analysis, University of Twente, The Netherlands. His mainresearch activities are in several areas of Bayesian response modeling. Dr. Fox has published numerous articles in the areas of Bayes
Note:Springer eBooks
Contents:Introduction to Bayesian response modeling
Bayesian hierarchical response modeling
Basic elements of Bayesian statistics
Estimation of Bayesian item response models
Assessment of Bayesian item response models
Multilevel item response theory models
Random item effects models
Response time item response models
Randomized item response models
ISBN:9781441907424
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Educational tests and measurements , Marketing , Social sciences Methodology , Psychometrics
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Call number:SPRINGER-2010-9780387927107:ONLINE Show nearby items on shelf
Title:Comparing Distributions [electronic resource]
Author(s): Olivier Thas
Date:2010
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing. Whereas the latter includes only formal statistical hypothesis tests for the one-sample and the K-sampleproblems, this book pres ents a more general and informative treatment by also considering graphical and estimation methods. A procedure is said to be informative when it provides information on the reason for rejecting the nullhypothesis. Despite the historically seemingly diffe rent development of methods, this book emphasises the similarities between the methods by linking them to a common theory backbone. This book consists of two parts. In the first partstatistical methods for the one-sample problem are discussed. The second part of the book treats the K-sample problem. Many sections of this second part of the book may be of interest to every statistician who is involved incomparative studies. The book gives a self-contained theoretical treatment of a wide range of goodness-o f-fit methods, including graphical methods, hypothesis tests, model selection and density estimation. It relies on parametric,semiparametric and nonparametric theory, which is kept at an intermediate level the intuition and heuristics behind the methods a re usually provided as well. The book contains many data examples that are analysed with the cd R-packagethat is written by the author. All examples include the R-code. Because many methods described in this book belong to the basic toolbox of almost ever y statistician, the book should be of interest to a wide audience. In particular, thebook may be useful for researchers, graduate students and PhD students who need a starting point for doing research in the area of goodness-of-fit testing. Practitioners and applied statisticians may also be interested because of themany examples, the R-code and the stress on the informative nature of the procedures. Olivier Thas is Associate Professor of Biostatistics
Note:Springer eBooks
Contents:One
Sample Problems
Preliminaries (Building Blocks)
Graphical Tools
Smooth Tests
Methods Based on the Empirical Distribution Function
Two
Sample and K
Sample Problems
Preliminaries (Building Blocks)
Graphical Tools
Some Important Two
Sample Tests
Smooth Tests
Methods Based on the Empirical Distribution Function
Two Final Methods and Some Final Thoughts
ISBN:9780387927107
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Statistical methods , Operations research , Social sciences Methodology , Psychometrics
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Call number:SPRINGER-2009-9783540922674:ONLINE Show nearby items on shelf
Title:Innovation Networks [electronic resource] : New Approaches in Modelling and Analyzing
Author(s): Andreas Pyka
Andrea Scharnhorst
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The science of graphs and networks has become by now a well-established tool for modelling and analyzing a variety of systems with a large number of interacting components. Starting from the physical sciences, applications havespread rapidly to the n atural and social sciences, as well as to economics, and are now further extended, in this volume, to the concept of innovations, viewed broadly. In an abstract, systems-theoretical approach, innovation can beunderstood as a critical event which destabili zes the current state of the system, and results in a new process of self-organization leading to a new stable state. The contributions to this anthology address different aspects of therelationship between innovation and networks. The various chapters in corporate approaches in evolutionary economics, agent-based modeling, social network analysis and econophysics and explore the epistemic tension between insights intoeconomics and society-related processes, and the insights into new forms of complex dynam ics
Note:Springer eBooks
Contents:Introduction: Network Perspective on Innovation: Innovative Networks
Network Innovation
Knowledge Networks: Structure and Dynamics
Death of Distance in Science? A Gravity Approach to Research Collaboration
Evolution and Dynamics of Networks in Regional Innovation Systems
Agent
based modelling of Innovation Networks
the Fairytale of Spillovers
Structural Holes, Innovation and the Distribution of Ideas
Social Network Analysis
A Physics Approach
Modelling, Evolving Innovation Networks
Propagation of Innovations in Complex Patterns of Interaction
Modelling Self
organ
ISBN:9783540922674
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Economics , Engineering , Engineering economy , Telecommunication , Social sciences Methodology
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Call number:SPRINGER-2009-9783540687214:ONLINE Show nearby items on shelf
Title:Interpreting Economic and Social Data [electronic resource] : A Foundation of Descriptive Statistics
Author(s): Othmar W Winkler
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Interpreting Economic and Social Data aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models ofsociety on the other. It do es this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The authorchallenges many preconceptions about aggregation, tim e series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. Interpreting Social and Economic Dataalso links statistics with other quantitative fields like accounting and geogr aphy. It is aimed at students and professors in business, economics and social science courses, and in general, at users of socio-economic data, requiringonly an acquaintance with elementary statistical theory
Note:Springer eBooks
Contents:Developments in Socio
Economic Statistics
From the Facts in Society to Socio
Economic Data
Structure and Nature of Socio
Economic Data: The Aggregates
Ratios in the Social Sciences
Interpreting Longitudinal Data, Part 1 Looking to the Past
Longitudinal Analysis, Part 2 Looking to the Future
Longitudinal Analysis, Part 3 Index Numbers
Cross Sectional Analysis in One Dimension
Cross Sectional Analysis in More Than One Dimension
Socio
Economic Statistics and Probability
The Interface between Statistics and Accounting
Socio
Economic Statistics and Geogra
ISBN:9783540687214
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics , Economics Methodology
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Call number:SPRINGER-2009-9780387924076:ONLINE Show nearby items on shelf
Title:A First Course in Bayesian Statistical Methods [electronic resource]
Author(s): Peter D Hoff
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advancedreaders to quickly grasp th e principles underlying Bayesian theory and methods. The examples and computer code allow the reader to understand and implement basic Bayesian data analyses using standard statistical models and to extendthe standard models to specialized data analysis s ituations. The book begins with fundamental notions such as probability, exchangeability and Bayes' rule, and ends with modern topics such as variable selection in regression,generalized linear mixed effects models, and semiparametric copula estimation. N umerous examples from the social, biological and physical sciences show how to implement these methodologies in practice. Monte Carlo summaries ofposterior distributions play an important role in Bayesian data analysis. The open-source R statistical compu ting environment provides sufficient functionality to make Monte Carlo estimation very easy for a large number of statisticalmodels and example R-code is provided throughout the text. Much of the example code can be run ``as is'' in R, and essentially all of it can be run after downloading the relevant datasets from the companion website for this book. PeterHoff is an Associate Professor of Statistics and Biostatistics at the University of Washington. He has developed a variety of Bayesian methods for mul tivariate data, including covariance and copula estimation, cluster analysis, mixturemodeling and social network analysis. He is on the editorial board of the Annals of Applied Statistics
Note:Springer eBooks
Contents:Introduction and examples
Belief, probability and exchangeability
One parameter models
Monte Carlo approximation
The normal model
Posterior approximation with the Gibbs sampler
The multivariate normal model
Group comparisons and hierarchical modeling
Linear regression
Nonconjugate priors and the Metropolis
Hastings algorithm
Linear and generalized linear mixed effects models
Latent variable methods for ordinal data
ISBN:9780387924076
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Data mining , Mathematical statistics , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2009-9780387899763:ONLINE Show nearby items on shelf
Title:Multidimensional Item Response Theory [electronic resource]
Author(s): M.D Reckase
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Multidimensional Item Response Theory is the first book to give thorough coverage to this emerging area of psychometrics. The book describes the commonly used multidimensional item response theory (MIRT) models and the importantmethods needed for the ir practical application. These methods include ways to determine the number of dimensions required to adequately model data, procedures for estimating model parameters, ways to define the space for a MIRT model,and procedures for transforming calibration s from different samples to put them in the same space. A full chapter is devoted to methods for multidimensional computerized adaptive testing. The text is appropriate for an advanced coursein psychometric theory or as a reference work for those interest ed in applying MIRT methodology. A working knowledge of unidimensional item response theory and matrix algebra is assumed. Knowledge of factor analysis is also helpful.Mark D. Reckase is a professor of Measurement and Quantitative Methods in the College o f Education at Michigan State University. He has been president of the National Council of Measurement in Education, Vice President of Division D ofthe American Educational Research Association, on the Board of Trustees of the Psychometric Society, and th e editor of Applied Psychological Measurement and the Journal of Educational Measurement. He has been doing research in the areaof MIRT since 1972
Note:Springer eBooks
Contents:Introduction
Historical and intellectual underpinnings of multidimensional item response theory
Basic background in item response theory
Extension of item response theory to the multidimensional case
Estimation of item and person parameters
Linking of calibrations
Multidimensional models for computerized adaptive tests
Other applications of multidimensional item response theory
Future directions for multidimensional item response theory
ISBN:9780387899763
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer simulation , Social sciences Methodology , Psychological tests and testing , Psychometrics
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Call number:SPRINGER-2009-9780387881461:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Network Data [electronic resource] : Methods and Models
Author(s): Eric D Kolaczyk
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:In the past decade, the study of networks has increased dramatically. Researchers from across the sciencesincluding biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, andstatisticsare more and more involved with the collection and statistical analysis of network-indexed data. As a result, statistical methods and models are being developed in this area at a furious pace, with contributions comingfrom a wide spectrum of disciplines. This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statisticaltaxonomy, although the presentation entails a conscious balance of concepts versus m athematics. In addition, the examplesincluding extended cases studiesare drawn widely from the literature. This book should be of substantialinterest both to statisticians and to anyone else working in the area of network science. The coverage of topics i n this book is broad, but unfolds in a systematic manner, moving from descriptive (or exploratory) methods, tosampling, to modeling and inference. Specific topics include network mapping, characterization of network structure, network sampling, and the mo deling, inference, and prediction of networks, network processes, and network flows. Thisbook is the first such resource to present material on all of these core topics in one place. Eric Kolaczyk is a professor of statistics, and Director of the Program in Statistics, in the Department of Mathematics and Statistics atBoston University, where he also is an affiliated faculty member in the Center for Biodynamics, the Program in Bioinformatics, and the Division of Systems Engineering. His publications on ne twork-based topics include work ranging fromthe detection of anomalous traffic patterns in computer networks to the prediction of biological function in networks of interacting protein
Note:Springer eBooks
Contents:Introduction and overview
Preliminaries
Mapping networks
Descriptive analysis of network graph characteristics
Sampling and estimation in network graphs
Models for network graphs
Network topology inference
Modeling and prediction for processes on network graphs
Analysis of network flow data
Graphical models
ISBN:9780387881461
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Bioinformatics , Mathematical statistics , Engineering , Telecommunication , Social sciences Methodology
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Call number:SPRINGER-2009-9780387879598:ONLINE Show nearby items on shelf
Title:Applying Quantitative Bias Analysis to Epidemiologic Data [electronic resource]
Author(s): Timothy L Lash
Matthew P Fox
Aliza K Fink
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and thecollection of validity data f rom other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensionalbias analysis, probabilistic bias analysis, and m ultiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results. Although techniques for bias analysis have been available fordecades, these methods are considered difficult to implement. This text not only gathers the methods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizablespreadsheets to implement the solutions. By downloading the spreadsheets (available at links provided in t he text), readers can follow the examples in the text and then modify the spreadsheet to complete their own bias analyses.Readers without experience using quantitative bias analysis will be able to design, implement, and understand bias analyses that addr ess the major threats to the validity of epidemiologic research. More experienced analysts will valuethe compilation of bias analysis methods and links to software tools that facilitate their projects. Timothy L. Lash is an Associate Professor of Epidemio logy and Matthew P. Fox is an Assistant Professor in the Center for InternationalHealth and Development, both at the Boston University School of Public Health. Aliza K. Fink is a Project Manager at Macro International in Bethesda, Maryland. Together they have organized and presented many day-long workshops on themethods of quantitative bias analysis. In addition, they have collaborated on many papers that developed methods of quantitative bias analysis
Note:Springer eBooks
Contents:Introduction, objectives and an alternative
A guide to implementing quantitative bias analysis
Data sources for bias analysis
Selection bias
Unmeasured and unknown confounders
Misclassification
Multidimensional bias analysis
Probabilistic bias analysis
Multiple bias modeling
Presentation and inference
ISBN:9780387879598
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Medicine , Emerging infectious diseases , Epidemiology , Computer simulation , Statistics , Social sciences Methodology
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Call number:SPRINGER-2009-9780387094182:ONLINE Show nearby items on shelf
Title:R for SAS and SPSS Users [electronic resource]
Author(s): Robert A Muenchen
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of theadd-on packages are m ost like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs andpractice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SASstatements and SPSS commands. When finished, you will be able to impor t data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. Robert A. Muenchen is the manager of the StatisticalConsulting Center at the University of Tennessee and has 28 years of experience as a consulti ng statistician. He has served on the advisory boards of SPSS Inc. and the Statistical Graphics Corporation. This is a really great book. Itis easy to read, quite comprehensive, and would be extremely valuable to both regular R users and users of SAS and SPSS who wish to switch to or learn about RAn invaluable reference. - David Hitchcock, University of South CarolinaThanks for writing R for SAS and SPSS Users--it is a comprehensible and clever document. The graphics chapter is superb! - Tony N. Brown, Va nderbilt University This is a Rosetta Stone for SPSS and SAS users to start learning Rquickly and effectively. - Ralph O'Brien, ASA Fellow I am a professional SAS and SPSS programmer and found this book extremely useful. - Tony Chu, Public Policy Research Data Analyst
Note:Springer eBooks
Contents:Introduction. The five main parts of SAS and SPSS
Programming conventions
Typographic conventions
Installing & updating R
Running R
Help and documentation
Programming language basics
Data Acquisition
Selecting Variables
Var, Variables
Selecting observations
where, if select if, filter
Selecting both variables and observations
Converting data structures
Data management
Recoding variables. Value labels or formats (& measurement level)
Variable labels
Generating data
How R stores data
Managing your files and workspace
Graphics overview
ISBN:9780387094182
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics and Computing, 1431-8784
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Data mining , Computer graphics , Mathematical statistics , Social sciences Methodology , Psychological tests and testing
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Call number:SPRINGER-2008-9783540736653:ONLINE Show nearby items on shelf
Title:Complex Decision Making [electronic resource] : Theory and Practice
Author(s): H Qudrat-Ullah
J.M Spector
P.I Davidsen
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The increasingly complex environment of today's world, characterized by technological innovation and global communication, generates myriads of possible and actual interactions while limited physical and intellectual resourcesseverely impinge on deci sion makers, be it in the public or private domains. At the core of the decision-making process is the need for quality information that allows the decision maker to better assess the impact of decisions interms of outcomes, nonlinear feedback processes a nd time delays on the performance of the complex system invoked. This volume is a timely review on the principles underlying complex decision making, the handling of uncertainties indynamic envrionments and of the various modeling approaches used. The boo k consists of five parts, each composed of several chapters: I: Complex Decision Making: Concepts, Theories and Empirical Evidence II: Tools and Techniques forDecision Making in Complex Environments and Systems III: System Dynamics and Agent-Based Modelin g IV: Methodological Issues V: Future Directions
Note:Springer eBooks
Contents:How to Improve Dynamic Decision Making? Theory and Practice
Expertise in Dynamic Tasks
Dynamic Handling of Uncertainty for Decision Making
Using System Dynamics and Multiple Objective Optimization to Support Policy Analysis for Complex Systems
Creation of Hydroelectric System Scheduling by Simulation
Understanding the Complex Decision Making Using Non
Parametric Data Envelopment Analysis
Using Group Model Building to Inform Public Policy Making and Implementation
Agents First! Using Agent
Based Simulation to Identify and Quantify Macro Stuctures
Influencing and Interpre
ISBN:9783540736653
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Economics , Engineering , Technology , Social sciences Methodology
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Call number:SPRINGER-2008-9780387775012:ONLINE Show nearby items on shelf
Title:Statistical Learning from a Regression Perspective [electronic resource]
Author(s): Richard A Berk
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important tocharacterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression. Among the statistical learning procedures examined are bagging, random forests,boosting, and support vector machines. Respon se variables may be quantitative or categorical. Real applications are emphasized, especially those with practical implications. One important theme is the need to explicitly take intoaccount asymmetric costs in the fitting process. For example, in some s ituations false positives may be far less costly than false negatives. Another important theme is to not automatically cede modeling decisions to a fittingalgorithm. In many settings, subject-matter knowledge should trump formal fitting criteria. Yet anot her important theme is to appreciate the limitation of ones data and not apply statistical learning procedures that require morethan the data can provide. The material is written for graduate students in the social and life sciences and for researchers wh o want to apply statistical learning procedures to scientific and policy problems. Intuitive explanationsand visual representations are prominent. All of the analyses included are done in R. Richard Berk is Distinguished Professor of Statistics Emeritus f rom the Department of Statistics at UCLA and currently a Professor at the Universityof Pennsylvania in the Department of Statistics and in the Department of Criminology. He is an elected fellow of the American Statistical Association and the American Asso ciation for the Advancement of Science and has served in aprofessional capacity with a number of organizations such as the Committee on Applied and Theoretical Statistics for the National Research Co
Note:Springer eBooks
Contents:Statistical Learning as a Regression Problem
Regression Splines and Regression Smoothers
Classification and Regression Trees (CART)
Bagging
Random Forests
Boosting
Support Vector Machines
Broader Implications and a Bit of Craft Lore
ISBN:9780387775012
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Social sciences Methodology , Psychological tests and testing
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Call number:SPRINGER-2008-9780387740751:ONLINE Show nearby items on shelf
Title:Model Based Inference in the Life Sciences: A Primer on Evidence [electronic resource]
Author(s): David R Anderson
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The abstract concept of information can be quantified and this has led to many important advances in the analysis of data in the empirical sciences. This text focuses on a science philosophy based on multiple workinghypotheses and statistical models to represent them. The fundamental science question relates to the empirical evidence for hypotheses in this seta formal strength of evidence. Kullback-Leibler information is the information lostwhen a model is used to approximate full reality. Hirotugu A kaike found a link between K-L information (a cornerstone of information theory) and the maximized log-likelihood (a cornerstone of mathematical statistics). This combinationhas become the basis for a new paradigm in model based inference. The text advoca tes formal inference from all the hypotheses/models in the a priori setmultimodel inference. This compelling approach allows a simple ranking of thescience hypothesis and their models. Simple methods are introduced for computing the likelihood of model i, given the data the probability of model i, given the data and evidence ratios. These quantities represent a formal strengthof evidence and are easy to compute and understand, given the estimated model parameters and associated quantities (e.g., residual sum of squares, maximized log-likelihood, and covariance matrices). Additional forms of multimodelinference include model averaging, unconditional variances, and ways to rank the relative importance of predictor variables. This textbook is written for peo ple new to the information-theoretic approaches to statistical inference,whether graduate students, post-docs, or professionals in various universities, agencies or institutes. Readers are expected to have a background in general statistical principles, r egression analysis, and some exposure to likelihoodmethods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation. DAVID R. ANDERSON retired
Note:Springer eBooks
Contents:Introduction
science hypotheses and science philosophy
Data and models
Information theory and entropy
Quantifying the evidence about science hypotheses
Multimodel inference
Advanced topics
Summary
ISBN:9780387740751
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Ecology , Evolution (Biology) , Social sciences Methodology
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Call number:SPRINGER-2008-9780387731865:ONLINE Show nearby items on shelf
Title:Handbook of Multilevel Analysis [electronic resource]
Author(s): Jan de Leeuw
Erik Meijer
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especiallyprevalent in the social and behavioral sciences and in the bio-medical sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the variouslevels in the data. This book presents the stat e of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Theauthors of the chapters are the leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is useful for empirical researchers in these fields. Prior knowledgeof multilevel analysis is not required, but a basic knowledge of regression analysis, (as ymptotic) statistics, and matrix algebra is assumed. Jan de Leeuw is Distinguished Professor of Statistics and Chair of the Department ofStatistics, University of California at Los Angeles. He is former president of the Psychometric Society, former editor of the Journal of Educational and Behavioral Statistics, founding editor of the Journal of Statistical Software, andeditor of the Journal of Multivariate Analysis. He is coauthor (with Ita Kreft) of Introducing Multilevel Modeling and a member of the Alb ert Gifi team who wrote Nonlinear Multivariate Analysis. Erik Meijer is Economist at the RANDCorporation and Assistant Professor of Econometrics at the University of Groningen. He is coauthor (with Tom Wansbeek) of the highly acclaimed book Measurement Er ror and Latent Variables in Econometrics
Note:Springer eBooks
Contents:to Multilevel Analysis
Bayesian Multilevel Analysis and MCMC
Diagnostic Checks for Multilevel Models
Optimal Designs for Multilevel Studies
Many Small Groups
Multilevel Models for Ordinal and Nominal Variables
Multilevel and Related Models for Longitudinal Data
Non
Hierarchical Multilevel Models
Multilevel Generalized Linear Models
Missing Data
Resampling Multilevel Models
Multilevel Structural Equation Modeling
ISBN:9780387731865
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Mathematical statistics , Econometrics , Social sciences Methodology , Psychometrics
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Call number:SPRINGER-2008-9780387728377:ONLINE Show nearby items on shelf
Title:Statistical Methods for Human Rights [electronic resource]
Author(s): Jana Asher
David Banks
Fritz J Scheuren
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Human rights issues are shaping the modern world. They define the expectations by which nations are judged and affect the policy of governments, corporations, and foundations. They have set the agenda in prosecutions at theInternational Criminal Cour t at the Hague, funding decisions by the International Monetary Fund, and corporate expansion programs by multinationals. Statistics is central to the modern perspective on human rights. It allows researchersto measure the effect of health care policies, the penetration of educational opportunity, and progress towards gender equality. The new wave of entrepreneurial charities demands impact assessments and documentation of milestoneachievement. Non-governmental organizations need statistics to build cases , conduct surveys, and target their efforts. This book describes the statistics that underlie the social science research in human rights. It includes casestudies, methodology, and research papers that discuss the fundamental measurement issues. It is int ended as an introduction to applied human rights research. The editors of the book are Jana Asher, David Banks, and Fritz Scheuren.Jana Asher led the first national human rights survey in Sierra Leone and provided statistical support for surveys in Iraq, Kosovo, East Timor and Peru. She is the former Senior Program Associate in the Science and Human Rights Programat the American Association for the Advancement of Science. David Banks is a professor of statistics at Duke University, Fellow of the American Statistical Association, recipient of the Roger Herriott Award, and currently editor of theJournal of the American Statistical Association. Fritz Scheuren is the past-president of the American Statistical Association, a Fellow of the ASA, and Vice-Preside nt of Statistics at the National Opinion Research Center at theUniversity of Chicago. He has done human rights statistics in Kosovo, Afghanistan, Peru, Guatemala, East Timor and Columbia, and he advises
Note:Springer eBooks
Contents:Statistical Thinking on Human Rights Topics
The Statistics of Genocide
Why Estimate Direct and Indirect Casualties from War? The Rule of Proportionality and Casualty Estimates
Statistical Thinking and Data Analysis: Enhancing Human Rights Work
Recent Projects
Hidden in Plain Sight: X.X. Burials and the Desaparecidos in the Department of Guatemala, 19771986
The Demography of Conflict
Related Mortality in Timor
Leste (19741999): Reflections on Empirical Quantitative Measurement of Civilian Killings, Disappearances, and Famine
Related Deaths
Afghan Refugee Camp Surveys
ISBN:9780387728377
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Social sciences Methodology , Demography
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Call number:SPRINGER-2008-9780387096124:ONLINE Show nearby items on shelf
Title:Bayesian Evaluation of Informative Hypotheses [electronic resource]
Author(s): Herbert Hoijtink
Irene Klugkist
Paul A Boelen
Date:2008
Edition:1
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents an alternative for traditional null hypothesis testing. It builds on the idea that researchers usually have more informative research-questions than the nothing is going on null hypothesis, or thesomething is going on alternative h ypothesis. To be more precise, researchers often express their expectations in terms of expected orderings in parameters, for instance, in group means. This book introduces a novel approach,wherein theories or expectations of empirical researchers are tra nslated into one or more so-called informative hypotheses, i.e., hypotheses imposing inequality constraints on (some of) the model parameters. As a consequence,informative hypotheses are much closer to the actual questions researchers have and therefore m ake optimal use of the data to provide more informative answers to these questions. A Bayesian approach is used for the evaluation ofinformative hypotheses and is introduced at a non-technical level in the context of analysis of variance models. Technical aspects of Bayesian evaluation of informative hypotheses are also considered and different approaches arepresented by an international group of Bayesian statisticians. Furthermore, applications in a variety of statistical models including among others la tent class analysis and multi-level modeling are presented, again at a non-technicallevel. Finally, the proposed method is evaluated from a psychological, statistical and philosophical point of view. This book contains numerous illustrations, all in the c ontext of psychology. The proposed methodology, however, isequally relevant for research in other social sciences (e.g., sociology or educational sciences), as well as in other disciplines (e.g., medical or economical research). The editors are all affili ated at the faculty of Social Sciencesat Utrecht University in the Netherlands. Herbert Hoijtink is a professor in applied Bayesian statistics at the Department of Methodology and Statistics. Irene
Note:Springer eBooks
Contents:A philosophical foundation of null, alternative and informative hypotheses, Jan
Willem Romeijn and Rens van de Schoot
Famous psychological data sets and hypotheses, Paul Boelen and Herbert Hoijtink
Sampling the posterior distributions of inequality constrained models, Irene Klugkist and Joris Mulder
Encompassing priors, Irene Klugkist
Intrinsic bayes factors, Jim Berger
Bayes factors without priors, Valen Johnson
Applications of bayes factors based on differenct prior distributions to classical psychological data sets, Paul Boelen, Floryt van Wesel and Herbert Hoijtink
The
ISBN:9780387096124
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2007-9780387707822:ONLINE Show nearby items on shelf
Title:Indirect Sampling [electronic resource]
Author(s): Pierre Lavalle
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Following the classical sampling theory, the survey statistician selects samples of people, businesses or others, in order to obtain the desired information. Drawing the samples is usually done by randomly selecting from a listrepresenting the target population. In practice, this list is often not available. At best, the statistician only has access to a different list, indirectly related to the targeted population. The example of a survey of children wherethe statistician only has a list of adult pe rsons is a typical case. In this case, the statistician first draws a sample of adults, and for each selected adult, the statistician then identifies his/her children. The survey is done fromthe latter. This is what is called indirect sampling. When indir ect sampling is used jointly with the sampling of clusters of persons (families, for example), many complications arise for the survey statistician. One of thecomplications relates to the computation of the estimates from the survey. The production of est imates of simple totals or means can then become nightmares for the survey statistician. To solve this problem, the author proposes asimple solution, easy to implement, that is called the generalised weight share method. This book is the reference on indi rect sampling and the generalised weight share method. It contains the different developments done by the authoron these subjects. The theory surrounding them is presented, but also different possible applications that drive its interest. The reader will find in this book the answer to questions that come, inevitably, when working in a contextof indirect sampling. Pierre Lavalle has been a survey statistician at Statistics Canada since 1985. He gas worked in social, business, and agricultural surveys. He has also worked for Eurostat in Luxembourg
Note:Springer eBooks
Contents:Description and Use of the GWSM
Literature Review
Properties
Other Generalisations
Application in Longitudinal Surveys
GWSM and Calibration
Non
response
GWSM and Record Linkage
Conclusion
ISBN:9780387707822
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Quality of Life , Mathematical statistics , Population , Social sciences Methodology , Quality of Life Research , Demography
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Call number:SPRINGER-2007-9780387698106:ONLINE Show nearby items on shelf
Title:The Statistical Analysis of Recurrent Events [electronic resource]
Author(s): Richard J Cook
Jerald F Lawless
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Recurrent event data arise in diverse fields such as medicine, public health, insurance, social science, economics, manufacturing and reliability. The purpose of this book is to present models and statistical methods for theanalysis of recurrent even t data. No single comprehensive treatment of these areas currently exists. The authors provide broad but detailed coverage of the major approaches to analysis, while also emphasizing the modeling assumptionsthat they are based on. Thus, they consider impo rtant models such as Poisson and renewal processes, with extensions to incorporate covariates or random effects. More general intensity-based models are also considered, as well assimpler models that focus on rate or mean functions. Parametric, nonparamet ric and semiparametric methodologies are all covered, with clear descriptions of procedures for estimation, testing and model checking. Important practicaltopics such as observation schemes and selection of individuals for study, the planning of randomize d experiments, events of several types, and the prediction of future events are considered. Methods of modeling and analysis areillustrated through many examples taken from health research and industry. The objectives and interpretations of different anal yses are discussed in detail, and issues of robustness are addressed. Statistical analysis of the examplesis carried out with S-PLUS software and code is given for some examples. This book is directed at graduate students, researchers, and applied statist icians working in industry, government or academia. Some familiarity with survivalanalysis is beneficial since survival software is used to carry out many of the analyses considered. This book can be used as a textbook for a graduate course on the analysi s of recurrent events or as a reference for a more generalcourse on event history analysis. Problems are given at the end of chapters to reinforce the material presented and to provide additional backgr
Note:Springer eBooks
Contents:Models and Frameworks for Analysis of Recurrent Events
Methods Based on Counts and Rate Functions
Analysis of Gap Times
General Intensity
Based Models
Multitype Recurrent Events
Observation Schemes Giving Incomplete or Selective Data
OtherTopics
ISBN:9780387698106
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Medicine , Epidemiology , Mathematical statistics , System safety , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2007-9780387498393:ONLINE Show nearby items on shelf
Title:Multivariate and Mixture Distribution Rasch Models [electronic resource] : Extensions and Applications
Author(s): Matthias Davier
Claus H Carstensen
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume covers extensions of the Rasch model, one of the most researched and applied models in educational research and social science. This collection contains 22 chapters by some of the most recognized international expertsin the field. They co ver topics ranging from general model extensions to applications in fields as diverse as cognition, personality, organizational and sports psychology, and health sciences and education. The Rasch model is designedfor categorical data, often collected as e xaminees' responses to multiple tasks such as cognitive items from psychological tests or from educational assessments. The Rasch model's elegant mathematical form is suitable for extensionsthat allow for greater flexibility in handling complex samples of examinees and collections of tasks from different domains. In these extensions, the Rasch model is enhanced by additional structural elements that either account fordifferences between diverse populations or for differences among observed variables. Rese arch on extending well-known statistical tools like regression, mixture distribution, and hierarchical linear models has led to the adoption ofRasch model features to handle categorical observed variables. We maintain both perspectives in the volume and s how how these merged modelsRasch models with a more complex item or population structureare derived either from theRasch model or from a structural model, how they are estimated, and where they are applied. Matthias von Davier is a Senior Research Scienti st in the Research & Development Division at Educational Testing Service. He is the author ofWINMIRA, a software package for estimating latent class models, mixture distribution Rasch models, and hybrid Rasch models. The software grew out of his work with colleagues at the Methodology Department of the Institute for ScienceEducation (IPN) in Kiel, Germany. Von Davier's current research is concerned with extensions of Rasch models and more general
Note:Springer eBooks
Contents:Introduction: extending the Rasch model or abandoning the Rasch model, Matthias von Davier, Jrgen Rost, Claus H. Carstensen
Measurement models as narrative structures, Robert Mislevy, Chun
Wei Huang
Testing generalized RM's, Cees A.W. Glas
The mixed
coefficients multinomal logit model
a generalized form of the Rasch model, Raymond J. Adams, Margaret L. Wu
Loglinear multivariate mixture Rasch models, Henk Kelderman
Mixture distribution and hybrid Rasch models, Matthias von Davier, Kentaro Yamamoto
Application of the Saltus model to stage
like data: some appliations and curr
ISBN:9780387498393
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Quality of Life , Quality of Life Research , Psychological tests and testing , Psychometrics
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Call number:SPRINGER-2005-9781846281242:ONLINE Show nearby items on shelf
Title:An R and S-PLUS Companion to Multivariate Analysis [electronic resource]
Author(s): Brian Sidney Everitt
Date:2005
Publisher:London : Springer London : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the manymethods of multivariate anal ysis, and the use of a suitable software package such as S-PLUS or R. In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R andS-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/.Graduate students, and advanced undergraduates on applied statistics cours es, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics whoneed to deal with the complexities of multivariate data in their work. Brian Everitt is Emeritus Professor of Statistics, Kings College, London
Note:Springer eBooks
Contents:Multivariate Data and Multivariate Analysis
Looking at Multivariate Data
Principal Components Analysis
Exploratory Factor Analysis
Multidimensional Scaling and Correspondence Analysis
Cluster Analysis
Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis
Multiple Regression and Canonical Correlation
The Analysis of Repeated Measures Data
Appendix
ISBN:9781846281242
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2003-9780387217277:ONLINE Show nearby items on shelf
Title:Analyzing Categorical Data
Author(s): Jeffrey S Simonoff
Date:2003
Size:1 online resource (498 p.)
Note:10.1007/978-0-387-21727-7
Contents:1 Introduction -- 2 Gaussian-Based Data Analysis -- 3 Gaussian-Based Model Building -- 4 Categorical Data and Goodness-of-Fit -- 5 Regression Models for Count Data -- 6 Analyzing Two-Way Tables -- 7 Tables with More Structure -- 8
Multidimensional Contingency Tables -- 9 Regression Models for Binary Data -- 10 Regression Models for Multiple Category Response Data -- A Some Basics of Matrix Algebra -- References
ISBN:9780387217277
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Social sciences , Probabilities , Statistics , Social Sciences , Methodology of the Social Sciences , Probability Theory and Stochastic Processes , Statistical Theory and Methods , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Social Science, Behavorial Science, Education, Public Policy, and
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Call number:SPRINGER-2003-9780387216454:ONLINE Show nearby items on shelf
Title:Survival Analysis Techniques for Censored and Truncated Data
Author(s): John P Klein
Date:2003
Edition:Second Edition
Size:1 online resource (538 p.)
Note:10.1007/b97377
Contents:Examples of Survival Data -- Basic Quantities and Models -- Censoring and Truncation -- Nonparametric Estimation of Basic Quantities for Right-Censored and Left-Truncated Data -- Estimation of Basic Quantities for Other Sampling
Schemes -- Topics in Univariate Estimation -- Hypothesis Testing -- Semiparametric Proportional Hazards Regression with Fixed Covariates -- Refinements of the Semiparametric Proportional Hazards Model -- Additive Hazard Regression
Models -- Regression Diagnostics -- Inference for Parametric Regression Models -- Multivariate Survival Analysis
ISBN:9780387216454
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Medicine , Epidemiology , Probabilities , Statistics , Social sciences , Medicine & Public Health , Epidemiology , Probability Theory and Stochastic Processes , Methodology of the Social Sciences , Statistics for Life Sciences, Medicine, Health Sciences , Statistical Theory and Methods , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2002-9781475736632:ONLINE Show nearby items on shelf
Title:Statistical Consulting
Author(s): Javier Cabrera
Date:2002
Size:1 online resource (390 p.)
Note:10.1007/978-1-4757-3663-2
Contents:I The Methodology of Statistical Consulting -- 1 Introduction to Statistical Consulting -- 2 Communication -- 3 Methodological Aspects -- 4 A Consulting Project from A to Z -- II Case Studies -- 5 Introduction to the Case Studies -- 6
Case Studies from Group I -- 7 Case Studies from Group II -- 8 Case Studies from Group III -- 9 Additional Case Studies -- A Resources -- A.1 References -- A.2 Datasets for Case Studies in Part II -- A.3 Statistical Consulting Course
-- A.3.1 Course Description -- A.3.2 List of Topics by Week -- A.3.3 Reference List -- B Statistical Software -- B.1 SAS -- B.1.1 The SAS Setup -- B.1.2 Details on the DATA Step -- B.1.3 SAS Procedures -- B.1.4 Further Details of SAS
-- B.2 S-PLUS -- B.2.1 S-PLUS Preliminaries -- B.2.2 The S-PLUS Setup -- B.2.3 Basic S-PLUS Commands -- B.2.4 Efficient Use of S-PLUS -- B.2.5 S-PLUS Statistical Procedures -- B.2.6 S-PLUS Glossary -- C Statistical Addendum -- C.1
Univariate Distributions -- C.2 Multivariate Distributions -- C.3 Statistical Tests -- C.4 Sample Size -- References
ISBN:9781475736632
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics for Life Sciences, Medicine, Health Sciences , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics for Social Science, Behavorial Science, Education, Public Policy, and
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Call number:SPRINGER-2002-9780387215440:ONLINE Show nearby items on shelf
Title:Plane Answers to Complex Questions The Theory of Linear Models
Author(s): Ronald Christensen
Date:2002
Edition:Third Edition
Size:1 online resource (476 p.)
Note:10.1007/978-0-387-21544-0
Contents:1 Introduction -- 2 Estimation -- 3 Testing Hypotheses -- 4 One-Way ANOVA -- 5 Multiple Comparison Techniques -- 6 Regression Analysis -- 7 Multifactor Analysis of Variance -- 8 Experimental Design Models -- 9 Analysis of Covariance
-- 10 Estimation and Testing in General Gauss-Markov Models -- 11 Split Plot Models -- 12 Mixed Models and Variance Components -- 13 Checking Assumptions, Residuals, and Influential Observations -- 14 Variable Selection and
Collinearity -- Appendix A: Vector Spaces -- Appendix B: Matrix Results -- B.1 Basic Ideas -- B.2 Eigenvalues and Related Results -- B.3 Projections -- B.4 Miscellaneous Results -- B.5 Properties of Kronecker Products and Vec Operators
-- B.6 Tensors -- B.7 Exercises -- Appendix C: Some Univariate Distributions -- Appendix D: Multivariate Distributions -- Appendix E: Inference for One Parameter -- E.1 Confidence Intervals -- E.2 Hypothesis Testing -- Appendix F:
Significantly Insignificant Tests -- F.1 Lack of Fit and Small F Statistics -- F.2 The Effect of Correlation and Heteroscedasticity on F Statistics -- Appendix G: Randomization Theory Models -- G.1 Simple Random Sampling -- G.2
Completely Randomized Designs -- G.3 Randomized Complete Block Designs -- References -- Author Index
ISBN:9780387215440
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Applied mathematics , Engineering mathematics , Probabilities , Social sciences , Statistics , Statistics, general , Probability Theory and Stochastic Processes , Methodology of the Social Sciences , Statistical Theory and Methods , Applications of Mathematics
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Call number:SPRINGER-2001-9781461302896:ONLINE Show nearby items on shelf
Title:Mixed-Mode Modelling: Mixing Methodologies For Organisational Intervention
Author(s):
Date:2001
Size:1 online resource (322 p.)
Note:10.1007/978-1-4613-0289-6
Contents:1 Mixing Methods for Organisational Intervention: Background and Current Status -- 2 Towards a General Holistic Framework for Improving and Controlling Human Activity Systems -- 3 Framing: A Meta-Framework for the Use of Mixed-Mode
Modelling -- 4 Introducing Forecasting and Monitoring Methods to an SME: the Role of Soft Systems Methodology -- 5 Assessment of the Value of Knowledge Transferred: a Mixed-Mode Approach -- 6 Hard Decisions, Soft Data: Localised
Context-Rich Solutions to Problems of New Product Development -- 7 The Fundamentals of Yield Management -- 8 Management and Wellbeing in the UK -- 9 The Use of Mixed-Mode Modelling in Determining Best Practice for a Business -- 10 A
Skill Assessment Process for Information Systems Professionals
ISBN:9781461302896
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 58
Keywords: Business , Organization , Planning , Operations research , Decision making , Social sciences , Business and Management , Operation Research/Decision Theory , Information Systems Applications (incl. Internet) , Social Sciences, general , Organization
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Call number:SPRINGER-1999-9781475730111:ONLINE Show nearby items on shelf
Title:Elements for a Theory of Decision in Uncertainty
Author(s): Jaime Gil-Aluja
Date:1999
Size:1 online resource (350 p.)
Note:10.1007/978-1-4757-3011-1
Contents:Introduction: Decisions in Uncertainty -- 1. Relations -- 2. Assignments -- 3. Groupings -- 4. Order -- Epilogue
ISBN:9781475730111
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 32
Keywords: Business , Operations research , Decision making , Computer science , Mathematical logic , Social sciences , Business and Management , Operation Research/Decision Theory , Methodology of the Social Sciences , Mathematical Logic and Foundations , Discrete Mathematics in Computer Science
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Call number:SPRINGER-1999-9781461546016:ONLINE Show nearby items on shelf
Title:Practical Applications of Fuzzy Technologies
Author(s):
Date:1999
Size:1 online resource (667 p.)
Note:10.1007/978-1-4615-4601-6
Contents:I Engineering and Natural Sciences -- 1 Fuzzy Control in the Process Industry: Common Practice and Challenging Perspectives -- 2 Fuzzy Sets in Engineering Design -- 3 Supervision, Fault-Detection and Fault-Diagnosis Methods — Advanced
Methods and Applications -- 4 Quality Control and Maintenance -- 5 Using Fuzzy Logic for Mobile Robot Control -- 6 Civil Engineering (Including Earthquake Engineering) -- 7 Ecological Modeling and Data Analysis -- 8 Fuzzy Sets Approach
to Spatial Analysis -- 9 Chemistry and Chemical Engineering -- II Medicine -- 10 Fuzzy Logic and Possibility Theory in Biomedical Engineering -- 11 Approximate Reasoning in Computer-Aided Medical Decision Systems -- 12 Image Processing
in Medicine -- III Management -- 13 Strategic Planning -- 14 Decision and Planning in Research and Development -- 15 Production Planning and Scheduling — Fuzzy and Crisp Approaches -- 16 Fuzzy Sets Methodologies in Actuarial Science --
IV Behavioral, Cognitive and Social Sciences -- 17 Fuzzy Set Theory and Applications in Psychology -- 18 Fuzzy Sets in Human Factors and Ergonomics -- V Tools -- 19 Fuzzy System Development: Software Methodology and Design Tools
ISBN:9781461546016
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:The Handbooks of Fuzzy Sets Series: 6
Keywords: Mathematics , Operations research , Decision making , Artificial intelligence , Mathematical logic , Mechanical engineering , Electrical engineering , Mathematics , Mathematical Logic and Foundations , Operation Research/Decision Theory , Artificial Intelligence (incl. Robotics) , Mechanical Engineering , Electrical Engineering
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Call number:SPRINGER-1997-9783662034996:ONLINE Show nearby items on shelf
Title:Recent Developments in Spatial Analysis Spatial Statistics, Behavioural Modelling, and Computational Intelligence
Author(s):
Date:1997
Size:1 online resource (433 p.)
Note:10.1007/978-3-662-03499-6
Contents:1 Advances in Spatial Analysis -- A Spatial Data Analysis -- 2 Mixed Estimation and the Expansion Method: An Application to the Spatial Modelling of the Aids Epidemic -- 3 Exploratory Spatial Data Analysis Linking SpaceStat and Arc
View -- 4 Measuring Spatial Variations in Relationships with Geographically Weighted Regression -- 5 Regionalisation Tools for the Exploratory Spatial Analysis of Health Data -- 6 A Structural Time Series Approach to Forecasting the
Space-Time Incidence of Infectious Diseases: Post-War Measles Elimination Programmes in the United States and Iceland -- 7 Estimating the Impact of Preventative Action on the Space-Time Incidence of HIV/AIDS -- B Behavioural Modelling
-- 8 Longitudinal Approaches to Analyzing Migration Behaviour in the Context of Personal Histories -- 9 Computational Process Modelling of Disaggregate Travel Behaviour -- 10 Modelling Non-Work Destination Choices with Choice Sets
Defined by Travel-Time Constraints -- 11 Space-Time Consumer Modelling, Store Wars and Retail Trading Hour Policy in Australia -- 12 A Multi-Objective Model for Developing Retail Location Strategies in a DSS Environment -- 13 Recent
Developments in the Modelling of Strategy Reformulation -- 14 Some Implications of Behaviour in Agricultural Markets -- C CI-based Spatial Analysis -- 15 Neurocomputing for Earth Observation — Recent Developments and Future Challenges
-- 16 Fuzzy ARTMAP — A Neural Classifier for Multispectral Image Classification -- 17 Feedforward Neural Network Models for Spatial Data Classification and Rule Learning -- 18 Bulding Fuzzy Spatial Interaction Models -- 19 Epilogue --
Author Index -- Contributors
ISBN:9783662034996
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Applied mathematics , Engineering mathematics , Regional economics , Spatial economics , Social sciences , Mathematics , Applications of Mathematics , Methodology of the Social Sciences , Simulation and Modeling , Regional/Spatial Science
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Call number:SPRINGER-1997-9783642591327:ONLINE Show nearby items on shelf
Title:Multiple Criteria Decision Making Proceedings of the Twelfth International Conference Hagen (Germany)
Author(s):
Date:1997
Size:1 online resource (678 p.)
Note:10.1007/978-3-642-59132-7
Contents:Contents: Theory -- Methods: Methodology -- Algorithms -- Applications: Applications in Engineering -- Applications in Environment -- Applications in Management
ISBN:9783642591327
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Economics and Mathematical Systems: 448
Keywords: Mathematics , Operations research , Decision making , Applied mathematics , Engineering mathematics , Game theory , Probabilities , Statistics , Engineering , Mathematics , Game Theory, Economics, Social and Behav. Sciences , Applications of Mathematics , Engineering, general , Operation Research/Decision Theory , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-1996-9781461239741:ONLINE Show nearby items on shelf
Title:Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS
Author(s): Ralph O Mueller
Date:1996
Size:1 online resource (232 p.)
Note:10.1007/978-1-4612-3974-1
Contents:1 Linear Regression and Classical Path Analysis -- Overview and Key Points -- Linear Ordinary Least Squares Regression -- Classical Path Analysis -- Summary -- Exercises -- Recommended Readings -- 2 Confirmatory Factor Analysis --
Overview and Key Points -- Specification and Identification of a CFA Model -- Data-Model Fit -- Model Modification -- Validity and Reliability from a CFA Perspective -- Summary -- Exercises -- Recommended Readings -- 3 General
Structural Equation Modeling -- Overview and Key Points -- Specification and Identification of a General Structural Equation Model -- The Direct, Indirect, and Total Structural Effect Components -- Parameter Estimation -- The
Structural Equation Modeling Process: An Illustrated Review and Summary -- Conclusion -- Exercises -- Recommended Readings -- Appendix A -- The SIMPLIS Command Language -- Overview and Key Points -- Appendix B -- Location, Dispersion,
and Association -- Overview and Key Points -- Statistical Expectation -- A Measure of a Distribution’s Location -- A Measure of a Distribution’s Dispersion -- A Measure of Association Between Two Variables -- Statistical
Standardization -- Standardized Variables -- A Standardized Measure of Association Between Two Variables -- Recommended Readings -- Appendix C -- Matrix Algebra -- Overview and Key Points -- Some Basic Definitions -- Algebra with
Matrices -- The Variance/Covariance Matrix -- Recommended Readings -- Appendix D -- Descriptive Statistics for the SES Analysis -- Appendix E -- References
ISBN:9781461239741
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Social sciences , Probabilities , Social Sciences , Methodology of the Social Sciences , Probability Theory and Stochastic Processes
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Call number:SPRINGER-1995-9781475724127:ONLINE Show nearby items on shelf
Title:Test Equating Methods and Practices
Author(s): Michael J Kolen
Date:1995
Size:1 online resource (334 p.)
Note:10.1007/978-1-4757-2412-7
Contents:and Concepts -- Observed Score Equating Using the Random Groups Design -- Random Groups—Smoothing in Equipercentile Equating -- Nonequivalent Groups—Linear Methods -- Nonequivalent Groups—Equipercentile Methods -- Item Response Theory
Methods -- Standard Errors of Equating -- Practical Issues in Equating and Scaling to Achieve Comparability
ISBN:9781475724127
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Social sciences , Psychology , Statistics , Statistical Theory and Methods , Psychology, general , Methodology of the Social Sciences
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Call number:SPRINGER-1995-9781461384632:ONLINE Show nearby items on shelf
Title:Models for Uncertainty in Educational Testing
Author(s): Nicholas T Longford
Date:1995
Size:1 online resource (285 p.)
Note:10.1007/978-1-4613-8463-2
Contents:1 Inference about variation -- 1.1 Imperfection and variation -- 1.2 Educational measurement and testing -- 1.3 Statistical context -- 2 Reliability of essay rating -- 2.1 Introduction -- 2.2 Models -- 2.3 Estimation -- 2.4 Extensions
-- 2.5 Diagnostic procedures -- 2.6 Examples -- 2.7 Standard errors -- 2.8 Summary -- 2.9 Literature review -- 3 Adjusting subjectively rated scores -- 3.1 Introduction -- 3.2 Estimating severity -- 3.3 Examinee-specific shrinkage --
3.4 General scheme -- 3.5 More diagnostics -- 3.6 Examples -- 3.7 Estimating linear combinations of true scores -- 3.8 Summary -- Appendix. Derivation of MSE for the general adjustment scheme -- 4 Rating several essays -- 4.1
Introduction -- 4.2 Models -- 4.3 Estimation -- 4.4 Application -- 4.5 Choice of essay topics -- 4.6 Summary -- 5 Summarizing item-level properties -- 5.1 Introduction -- 5.2 Differential item functioning -- 5.3 DIF variance -- 5.4
Estimation -- 5.5 Examples -- 5.6 Shrinkage estimation of DIF coefficients -- 5.7 Model criticism and diagnostics -- 5.8 Multiple administrations -- 5.9 Conclusion -- 6 Equating and equivalence of tests -- 6.1 Introduction -- 6.2
Equivalent scores -- 6.3 Estimation -- 6.4 Application -- 6.5 Summary -- 7 Inference from surveys with complex sampling design -- 7.1 Introduction -- 7.2 Sampling design -- 7.3 Proficiency scores -- 7.4 Jackknife -- 7.5 Model-based
method -- 7.6 Examples -- 7.7 Estimating proportions -- 7.8 Regression with survey data -- 7.9 Estimating many subpopulation means -- 7.10 Jackknife and model-based estimators -- 7.11 Summary -- 8 Small-area estimation -- 8.1
Introduction -- 8.2 Shrinkage estimation -- 8.3 Regression with survey data -- 8.4 Fitting two-level regression -- 8.5 Small-area mean prediction -- 8.6 Selection of covariates -- 8.7 Application -- 8.8 Summary and literature review --
9 Cut scores for pass/fail decisions -- 9.1 Introduction -- 9.2 Models -- 9.3 Fitting logistic regression -- 9.4 Examples -- 9.5 Summary -- 10 Incomplete longitudinal data -- 10.1 Introduction -- 10.2 Informative missingness -- 10.3
Longitudinal analysis -- 10.4 EM algorithm -- 10.5 Application -- 10.6 Estimation -- 10.7 Summary -- References
ISBN:9781461384632
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Social sciences , Education , Statistics , Social Sciences , Methodology of the Social Sciences , Statistics for Social Science, Behavorial Science, Education, Public Policy, and , Education, general
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Call number:SPRINGER-1994-9789401108409:ONLINE Show nearby items on shelf
Title:Learning in Natural and Connectionist Systems Experiments and a Model
Author(s): R. Hans Phaf
Date:1994
Size:1 online resource (294 p.)
Note:10.1007/978-94-011-0840-9
Contents:Preface -- Acknowledgements -- 1: Introduction -- 1.1. The importance of learning -- 1.2. The biological role of learning -- 1.3. Connectionist models as learning systems -- 1.4. Models and languages -- 1.5. Aligning connectionist
learning with natural learning -- 2: A connectionist approach to learning -- 2.1. The connectionist language -- 2.2. Problems with connectionist models -- 2.3. CALM: Categorizing and Learning Module -- 2.4. Single module simulations --
2.5. Multiple module simulations -- 2.6. Discussion -- 3: Psychological constraints on learning -- 3.1. Attention and memory storage -- 3.2. Elaborative shifts during rehearsal -- 3.3. Attention and study-test compatibility as
dissociative factors -- 3.4. Divided attention and implicit and explicit memory tasks -- 3.5. Towards a memory model incorporating attentional effects -- 4: A connectionist model for implicit and explicit memory -- 4.1. ELAN: a family
of models -- 4.2. Architecture of ELAN-1 -- 4.3. Simulations with ELAN-1 -- 4.4. Higher ELAN models -- 5. Evaluation -- 5.1. Comparison to other models -- 5.2. The connectionism vs. symbol-manipulation controversy -- 5.3. Conclusion --
References
ISBN:9789401108409
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurology , System theory , Statistical physics , Dynamical systems , Social sciences , Physics , Statistical Physics, Dynamical Systems and Complexity , Methodology of the Social Sciences , Systems Theory, Control , Neurology
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Call number:SPRINGER-1991-9783642499791:ONLINE Show nearby items on shelf
Title:Estimation of Mortality Rates in Stage-Structured Population
Author(s): Simon N Wood
Date:1991
Size:1 online resource (101 p.)
Note:10.1007/978-3-642-49979-1
Contents:1: Introduction -- 1.1 Inverse problems in population ecology -- 1.2 Copepod mortality rate estimation -- 1.3 The theoretical problems of mortality estimation -- 1.4 Existing methods for mortality estimation -- 1.5 This monograph --
2: Mortality Estimation Schemes Related to Stage Structured Population Models -- 2.1 Introduction -- 2.2 Preliminaries: mortality estimation for an unstructured population with known birth rate -- 2.3 Mortality estimation for a single
stage of known duration -- 2.4 Instabilities associated with mortality estimators -- 2.5 Discussion -- 3: Cubic Splines and Histosplines -- 3.1 Introduction -- 3.2 A brief guide to splines -- 3.3 Cubic splines for exact or noisy
histogram data -- 3.4 Choosing the smoothing parameter with covariant error terms -- 3.5 Two examples of the application of cubic area splines to age-structured population data -- 4: Population Surfaces: A New Method of Mortality
Estimation -- 4.1 The structured population model -- 4.2 Preliminary estimation of population surface f(?,t) -- 4.3 Characteristics of f(?,t) -- 4.4 Error estimates -- 4.5 What to do about adults -- 4.6 A simpler method -- 4.7 Messy
practicalities -- 4.8 Summary -- 5: Tests of the New Method -- 5.1 Parslow and Sonntag’s Lag-Manly model method -- 5.2 The method of Hay, Evans and Gamble -- 5.3 Manly’s (1987) method -- 5.4 Comparison and testing of the sophisticated
and simplified versions of the new method -- 5.5 Discussion -- 6: Loch Ewe Copepods: Some Speculation (Written with S.J. Hay) -- 6.1 The Loch Ewe mesocosm experiments -- 6.2 Stage durations -- 6.3 Modelling sampling error -- 6.4 Death
rate patterns for the different copepod species in bag C2: comparison and speculation -- 7: Discussion -- 7.1 What we’ve done -- 7.2 Experimental suggestions -- 7.3 Production estimation -- 7.4 Methodological improvements -- 7.5 The
take home message -- References
ISBN:9783642499791
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Biomathematics: 90
Keywords: Social sciences , Biomathematics , Anthropology , Demography , Social Sciences , Demography , Methodology of the Social Sciences , Anthropology , Mathematical and Computational Biology
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Call number:SPRINGER-1991-9781489907189:ONLINE Show nearby items on shelf
Title:Facets of Systems Science
Author(s): George J Klir
Date:1991
Size:1 online resource (664 p.)
Note:10.1007/978-1-4899-0718-9
Contents:I SYSTEMS SCIENCE: A Guided Tour -- 1. What Is Systems Science? -- 2. More about Systems -- 3. Systems Movement -- 4. Conceptual Frameworks -- 5. Systems Methodology -- 6. Systems Metamethodology -- 7. Systems Knowledge -- 8.
Complexity -- 9. Simplification Strategies -- 10. Goal-Oriented Systems -- 11. Systems Science in Retrospect and Prospect -- II Classical Systems Literature -- Author Index
ISBN:9781489907189
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:International Federation for Systems Research International Series on Systems Science and Engineering: 7
Keywords: Business , Management science , Political science , Complexity, Computational , Social sciences , Business and Management , Business and Management, general , Political Science , Social Sciences, general , Complexity
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Call number:SPRINGER-1991-9781475790030:ONLINE Show nearby items on shelf
Title:Activity Measurement in Psychology and Medicine
Author(s): Warren W Tryon
Date:1991
Size:1 online resource (247 p.)
Note:10.1007/978-1-4757-9003-0
ISBN:9781475790030
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Psychology , Health informatics , Social sciences , Clinical psychology , Health psychology , Psychology , Clinical Psychology , Health Psychology , Methodology of the Social Sciences , Health Informatics
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Call number:SPRINGER-1990-9781461233848:ONLINE Show nearby items on shelf
Title:A Statistical Model Frederick Mosteller’s Contributions to Statistics, Science, and Public Policy
Author(s):
Date:1990
Size:1 online resource (283 p.)
Note:10.1007/978-1-4612-3384-8
Contents:1 Biography -- 2 Bibliography -- Books -- Papers -- Miscellaneous -- Reviews -- 3 Contributions as a Scientific Generalist -- 3.1 Background -- 3.2 Creation and Generalization within Statistics -- 3.3 Overlaps between Statistics and
Other Domains -- 3.4 Establishing Links among Nonstatistical Fields -- 3.5 Links between Research and Applications -- 3.6 Formation of New Fields of Inquiry -- 3.7 Encouragement of Other Scholars -- 3.8 Institutional Leadership in
Science -- Appendix 1: The Mosteller Years at AAAS -- Appendix 2: Resolution Adopted by the Board of Trustees of the Russell Sage Foundation -- 4 Contributions to Mathematical Statistics -- 4.1 Systematic Statistics -- 4.2 Slippage
Tests: “The Problem of the Greatest One” -- 4.3 Stochastic Models for Learning -- 4.4 Products of Random Matrices, Computer Image Generation, and Computer Learning -- 4.5 Number Theory—Statistics for the Love of It -- References -- 5
Contributions to Methodology and Applications -- 5.1 Introduction -- 5.2 Public Opinion Polls and Other Survey Data -- 5.3 Quality Control -- 5.4 On Pooling Data -- 5.5 Thurstone-Mosteller Model for Paired Comparisons -- 5.6 Measuring
Utility -- 5.7 Measuring Pain -- 5.8 The Analysis of Categorical Data -- 5.9 Statistics and Sports -- 5.10 The Jackknife -- 5.11 Meta-Analysis in the Social and Medical Sciences -- 5.12 Summary -- Appendix: Frederick Mosteller, Social
Science, and the Meta-Analytic Age -- References -- 6 Fred as Educator -- 6.1 Precollege Education—Advocacy and Action -- 6.2 Face-to-Face Teaching in Traditional and Nontraditional Settings -- 6.3 On Teaching Teachers -- 6.4
Evaluating Education and Evaluating Educational Evaluations -- 6.5 The Learning Process—Research, Teaching, and Practice -- 6.6 Continuing Education -- References -- 7 Fred at Harvard -- 7.1 Introduction -- 7.2 In the Department of
Social Relations -- 7.3 In the Department of Statistics -- 7.4 In the Kennedy School of Government and the Law School -- 7.5 In the School of Public Health -- 7.6 The “Statistician’s Guide to Exploratory Data Analysis” -- 7.7 Epilogue
-- Appendix: Excerpts from “Some Topics of Interest to Graduate Students in Statistics” -- References -- 8 Reviews of Book Contributions -- Sampling Inspection, W. Allen Wallis -- The Pre-Election Polls of 1948, Richard F. Link --
Statistical Problems of the Kinsey Report, James A. Davis -- Stochastic Models for Learning, Paul W. Holland -- Probability with Statistical Applications, Emanuel Parzen -- The Federalist, John W. Pratt -- Fifty Challenging Problems in
Probability, Joseph I. Naus -- On Equality of Educational Opportunity, Richard J. Light -- Federal Statistics, Yvonne M. Bishop -- National Assessment of Educational Progress, Lyle V. Jones -- Statistics: A Guide to the Unknown,
Gudmund R. Iversen -- Sturdy Statistics, Ralph B. D’Agostino -- Statistics by Example, Janet D. Elashoff -- Weather and Climate Modification, Michael Sutherland -- Costs, Risks, and Benefits of Surgery, Howard H. Hiatt -- Statistics
and Public Policy, Michael A. Stoto -- Data Analysis and Regression, Sanford Weisberg -- Data for Decisions, William B. Fairley -- Statistician’s Guide to Exploratory Data Analysis, Persi Diaconis -- Beginning Statistics with Data
Analysis, John D. Emerson -- Biostatistics in Clinical Medicine, Joel C. Kleinman
ISBN:9781461233848
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Applied mathematics , Engineering mathematics , Mathematics , Applications of Mathematics
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Call number:SPRINGER-1989-9783642750403:ONLINE Show nearby items on shelf
Title:Conceptual and Numerical Analysis of Data Proceedings of the 13th Conference of the Gesellschaft für Klassifikation e. V., University of Augsburg, April 10–12, 1989
Author(s):
Date:1989
Size:1 online resource (530 p.)
Note:10.1007/978-3-642-75040-3
Contents:Section 1: Data Analysis and Classification: Basic Concepts and Methods -- Robustness of Estimation Methods against Small Sample Sizes and Nonnormality in Confirmatory Factor Analysis Models -- Probabilistic Aspects in Cluster
Analysis -- Symbolic Cluster Analysis -- Analysis of Nonnormal Longitudinal Data with Generalized Linear Models -- Cluster Methods for Qualitative Data -- On Testing for and against Inequality Restrictions -- Evaluation of a Survey
with Methods of Formal Concept Analysis -- A New Modification of the Rand Index for Comparing Partitions -- Relations between Models for Three-Way Factor Analysis and Multidimensional Scaling -- Algorithms in Multidimensional Scaling
-- Extensions of Correspondence Analysis for the Statistical Exploration of Multidimensional Contingency Tables -- Numerical Classification of Biased Estimators -- An Agglomerative Algorithm of Overlapping Clustering -- Isotonic
Regression — For a Monotone Index on a Hierarchy -- On the Interpretation of Median Relations -- Least Squares Approximation of Additive Trees -- Geometric Representation of Concept Lattices -- On Properties of Additive Tree Algorithms
-- Section 2: Applications in Library Sciences, Documentation and Information Sciences -- Knowledge Structures and Knowledge Representation: Psychological Models of Conceptual Order -- Qualitative and Numerical Data in a
Three-dimensional System -- New Concepts and Terms During the French Revolution. A Classification of the Neologisms According to their Origin -- Einige sprachliche Probleme bei der Arbeit an einer Klassifikation und deren Registern --
Data Analysis in Literary Studies -- Have Very Large Data Bases Methodological Relevance? -- Priority-Based Classification of Available Information — An Important Aspect of Future User Interfaces -- Section 3: Applications in Economics
and Social Sciences -- Computer-Based and Quantitative Methods in Market Research -- Sample Techniques Used in Marketing Research -- Generalized Latent Class Analysis: A New Methodology for Market Structure Analysis -- The Use of the
Logical Programming Language PROLOG as a Classification Method -- Classification and Selection of Consumer Purchase Behaviour Models -- Towards a New Socioeconomic Classification Scheme for Farm Households Using a Cluster Analysis
Technique -- Identification of Multiple Criteria Decision Making -- Explorative Data Analysis and Macroeconomics -- A Microeconometric Study of Travelling Behaviour -- Inference Techniques in Decision Support Systems — Comparison and
Example from Data Analysis -- Section 4: Applications in Natural Sciences and Computer Sciences -- The Classification of Organisms — The Hurdle of Homology — -- Limits in the Reconstruction of Phylogenetic Trees Exemplified with 5S
rRNA Sequences -- The Concept of Information in Computer Science -- Exploring Homologous tRNA Sequence Data: Positional Mutation Rates and Genetic Distance -- Nucleotide Sequence Analysis of Conserved Genes from Bacteria -- An Analysis
of Throughput Measurements on a Computer Network -- AC-Characteristics and the Pass/Fail Performance of a Memory Chip -- Authors
ISBN:9783642750403
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Operations research , Decision making , Data structures (Computer science) , Economic theory , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Operation Research/Decision Theory , Data Structures , Economic Theory/Quantitative Economics/Mathematical Methods
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Call number:SPRINGER-1983-9781461256168:ONLINE Show nearby items on shelf
Title:Probability in Social Science Seven Expository Units Illustrating the Use of Probability Methods and Models, with Exercises, and Bibliographies to Guide Further Reading in the Social Science and Mathematics Literatures
Author(s): Samuel Goldberg
Date:1983
Size:1 online resource (120 p.)
Note:10.1007/978-1-4612-5616-8
Contents:1. A Power Index for Individuals and Coalitions -- 1.1 Introduction -- 1.2 Coalitions and characteristic function of a game -- 1.3 Shapley value to a player -- 1.4 Shapley-Shubik power index -- 1.5 Some illustrative examples -- 1.6
Applications and other measures of power -- 2. How Many People Have Ever Lived? -- 2.1 Introduction -- 2.2 A birth-death stochastic process -- 2.3 Determination of the mean population size -- 2.4 Fitting an exponential curve -- 2.5
Population data and results -- 3. Management of Research Projects -- 3.1 Introduction -- 3.2 Problem 1 -- 3.3 Problem 2 -- 3.4 Bibliographic notes -- 4. Stochastic Learning Models -- 4.1 Introduction -- 4.2 The experiment and the model
-- 4.3 Consequences of the model -- 4.4 Extensions and further reading -- 5. Glottochronology -- 5.1 Introduction -- 5.2 A “death” process for words -- 5.3 Comparing cognates in two languages -- 6. Probability Models for Mobility --
6.1 The basic BKM Markov model -- 6.2 The Stayer-Mover model -- 6.3 Further modifications -- 7. Recall From Memory -- 7.1 Introduction -- 7.2 The model -- 7.3 Outline of the analysis -- 7.4 The derivation of Pn(t) -- 7.5 Final remarks
and additional references -- Postscript. -- Index. 115
ISBN:9781461256168
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematical Modeling : 1a
Keywords: Social sciences , Applied mathematics , Engineering mathematics , Game theory , Probabilities , Social Sciences , Methodology of the Social Sciences , Probability Theory and Stochastic Processes , Game Theory, Economics, Social and Behav. Sciences , Applications of Mathematics
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Call number:SPRINGER-1981-9781461381457:ONLINE Show nearby items on shelf
Title:The File Case Study in Correction (1977–1979)
Author(s): Serge Lang
Date:1981
Size:1 online resource (712 p.)
Note:10.1007/978-1-4613-8145-7
Contents:Introductory Letter to the Reader -- Why bother? (Your point of view). Why bother? (My point of view). Editorial responsibility -- The letters. Introductory and other comments. Objectivity -- The Story: Summary -- A Reply to Lang --
The Ladd—Lipset Surveys—A Brief Review. The Methodology of the 1977 Survey. Survey Research on Public Opinion and Social Values. Sampling. Nonresponse. Question Design and Questionnaire Development. Envoi. -- The File -- “The 1977
Survey of the American Professoriate” -- VERITAS AT HARVARD, by Sigmund Diamond from the New York Review of Books, 28 April 1977 -- The First Year -- One: The Opening Exchange -- Two: From Koblitz’s Letter to Lang’s Fifteen Pages of
Comments -- Three: From Lang’s Comments to the Science Article -- Four: From Science to New York Review of Books -- Five: The Garfinkel Letter (“McCarthyism”?) -- Six: The New York Review of Books Article -- The Second Year -- Seven:
Trying to Settle Loose Ends -- Eight: The Chronicle Causes a Rebound -- Nine: From Mac Lane’s Letter to the Editors (Notices, AMS) to Lang’s Letter to the Editor (Bulletin, AAUP) -- Ten: The Stakes Are Raised -- Eleven: The “Ratings”
Get Publicity -- Twelve: The AAUP—Chronicle Relation -- Thirteen: End of the Second Year -- Into a Third Year -- Fourteen: “McCarthyism”? (Again) -- Fifteen: “Intemperate and Libelous”? -- Sixteen: Ladd—Lipset, Survey Research,
Sociology. Can We Generalize? How? -- Seventeen: The Story Goes On -- Eighteen: Closing the File -- Appendices -- Appendix II. Documents on the Carnegie—ACE 1969 Survey -- Lang Letter to Clark Kerr on the 1969 Survey -- Appendix III.
“Representative Sampling, I: Non-scientific Literature,” by William Kruskal and Frederic Mosteller -- Appendix IV. Veritas at Harvard -- Some Themes and Issues -- S. Lang -- Correction. “The 1977 Survey of the American Professoriate”:
quality use of the questionnaire academic effect administrative effect and public effect. Survey research. Sociology. Social Sciences. VERITAS AT HARVARD. Scholarship: academic only? active? political? Journalistic power the cc list
letters to the editor. Financial power. Subservience to authority and power: intellectual authority statutory authority and power. The competence of the surveyors. The personal aspect of the file. The methodology of the file.
Collegiality. Responsibility: institutional journalistic scientific personal. Conclusion -- Publication of the File -- Comments and Letters -- “Selective Memory and Scholarly Controversy,” -- Seymour Martin Lipset
ISBN:9781461381457
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematics , Mathematics, general
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Call number:SPRINGER-1978-9781475705553:ONLINE Show nearby items on shelf
Title:Applied General Systems Research Recent Developments and Trends
Author(s):
Date:1978
Size:1 online resource (1001 p.)
Note:10.1007/978-1-4757-0555-3
Contents:Conceptual and Methodological Foundations of General Systems Research -- Progress in General Systems Research -- Linkage Propositions between Fifty Principal Systems Concepts -- A Problem-Solving Basis for General Systems Research --
Systems Theoretic Description: A Vehicle for Reconciling Diverse Modelling Concepts -- On Being Autonomous: The Lessons of Natural History for Systems Theory -- The Complexity Race -- General System Identification — Fundamentals and
Results -- Constraint Analysis in Structure Modelling: A Probabilistic Approach -- Structure Modelling: A Constraint (Information) Analytic Approach -- On Structure Identification of Discrete Time Systems -- Metasystem Identification:
A Procedure for Detection and Structural Composition in Time Dependent Systems -- Exploring, Modelling, and Controlling Discrete Sequential Environments -- Managing Complex Systems: An Application of Ensemble Methods in System Theory
-- The Evolution of Organization -- A Mathematical Foundation for System Synthesis -- On the Decomposition of General Systems: Simulation by Coupling Quotients -- Some Esomathematical Uses of Category Theory -- A Categorical Approach
to General Systems -- Systems as Bimodules -- Lattices of Controllable and Observable Spaces -- Results of Empirical Studies in Fuzzy Set Theory -- Building Fuzzy Systems Models -- Basic Cyclic Relators as a Description of
Multi-Levelled Systems -- Mobile Systems: Survey -- System Dynamics Versus Econometrics—An Approach for Synthesis -- Absolute Stability of General Systems -- Asymptoticity in General Systems -- Normed Networks: Their Mathematical
Theory and Applicability -- The Role of the Observer in Uniform Systems -- The Nature of Fundamentals, Applied to the Fundamentals of Nature -- The Whole and the Simultaneous -- Ego Development Through Induced Programming --
Structurally Invariant Linear Models of Structurally Varying Linear Systems -- Stability and Eigenvalue Monotonicity of Linear Systems -- New Approaches to Reduction of Computational Complexity in Signal Processing Systems -- Synthesis
of Complex Control Objects as an Integrated System -- Advances of General Systems Research in Biological Sciences -- Biology and Systems Research: An Overview -- Biological Systems Theory: Descriptive and Constructive Complementarity
-- Some Analogies of Hierarchical Order in Biology and Linguistics -- Functional Hierarchies in the Brain -- Controlled Markov Chain Models for Biological Hierarchies -- Succinct Representation in Neural Nets and General Systems -- A
Matrix Algebra for Neural Nets -- Stability of General Systems in Biological, Physical and Social Sciences -- The Structural-Functional Analysis of Interbehavioral Systems -- Some Aspects of Analysis Cancer Problems by Means of Control
Theory -- The Inverse Problem: Computational Algorithms and Their Efficiency with Applications to a Model of the Calvin Photosynthesis Cycle -- Could a Model for the Regulation of ago-Antagonistic Couples Be Related to Various Types of
Concrete Systems? -- Optimal Ventilation of Critically Ill Patients -- Impact of General Systems Research On the Social Sciences -- Systems Research and Social Sciences -- Social System Evolution and Sociobiology -- General Systems
Methodology and Political Science -- Systems-Methodology in Management: An Adaptive Procedure for Organic Problem-Solving -- A Managerial Problem Solving Methodology (MPSM) -- A Dynamic Model for Society -- Understanding
Supra-Institutional Problems: Systems Lessons Drawn from an Application of the Checkland Methodology -- Multi-Organisational Strategies: An Analytical Framework and Case -- An Open-System Model of the Corporation -- A Production
Planning System Dynamics -- Analysis of Investment in Technology Development and Systems with Variable Structure -- General Systems: A Tool for the Evaluation of the Firm’s Potential as a Result of Changes in its P-M Posture -- Dynamic
Control of Hierarchical Public Systems -- The Meaning of Failure as Applied to Human Systems: Characteristics for a Fourth Generation of Systems Methodologies -- A Model of the Environment of Organizations: Theory and Evidence of
Regulating “Jumpy” F-Sets -- System Modeling in Space -- Social Networks and Inter-Systemic Decision-Making -- Two Separate Realities: Dyadic Communication Problems Resulting from Interpersonal Differences in Internal Complexity --
Evolution Strategy and Social Sciences -- A Systems Framework for Library Analysis -- Toward a Siggs Characterization of Epistemic Properties of Educational Design -- A Curriculum for General Systems Education -- Adverse Views to
General Systems Research -- Adverse Notes on Systems Theory -- On the Limitations of General Systems Theory in Systems Engineering -- The Limitations of Applied Systems Research
ISBN:9781475705553
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:NATO Conference Series : 5
Keywords: Science , Science, general , Science, general
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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Call number:QA76.9.ME9C3::2011 Show nearby items on shelf
Title:Statistical analysis: Microsoft Excel 2010
Author(s): Conrad George Carlberg
Date:2011
Publisher:Indianapolis, Ind. : Que
Size:412 p.
ISBN:9780789747204
Series:MrExcel library
Keywords: Microsoft Excel (Computer file) , Social sciences Statistics Methodology.
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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Location: MAIN

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