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SPIRES-BOOKS: FIND KEYWORD SCIENCE,METHODOLOGY *END*INIT* use /tmp/qspiwww.webspi1/19499.157 QRY 131.225.70.96 . find keyword science,methodology ( in books using www Cover
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Call number:9783319466248:ONLINE Show nearby items on shelf
Title:Energy-Level Control at Hybrid Inorganic/Organic Semiconductor Interfaces
Author(s): Raphael Schlesinger
Date:2017
Size:1 online resource (XVIII, 211 p. 88 illus., 52 illus. in color p.)
Contents:Introduction -- Fundamentals -- Theory of Experimental Methods -- Methodology and Experimental Setups -- Results and Discussion -- Conclusion.
ISBN:9783319466248
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Semiconductors , Surfaces (Physics) , Interfaces (Physical sciences) , Thin films , Spectroscopy , Microscopy , Optical materials , Electronic materials , Physics , Surface and Interface Science, Thin Films , Optical and Electronic Materials , Spectroscopy and Microscopy , Semiconductors
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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:9780674974135:ONLINE Show nearby items on shelf
Title:Cycles of invention and discovery: rethinking the endless frontier
Author(s): Venkatesh Narayanamurti
Toluwalogo Odumosu
Date:2016
Publisher:Harvard University Press
Size:1 online resource (170 pages)
ISBN:9780674967960
Series:eBooks
Series:ProQuest ebrary
Keywords: Research, Methodology. , Science, Methodology , Technology, Research
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Call number:SPRINGER-2016-9783662484470:ONLINE Show nearby items on shelf
Title:Decoding the Mechanisms of Antikythera Astronomical Device
Author(s): Jian-Liang Lin
Date:2016
Edition:1st ed. 2016
Size:1 online resource (141 p.)
Note:10.1007/978-3-662-48447-0
Contents:A Sketch of Ancient Western Astronomy -- Ancient Astronomical Instruments -- Amazing Discovery of Archaeology -- Modern Reconstruction Research -- Reconstruction Design Methodology -- Reconstruction Designs of the Calendrical
Subsystem -- Reconstruction Designs of the Lunar Subsystem -- Reconstruction Designs of the Solar Subsystem -- Reconstruction Designs of the Planetary Subsystem -- Reconstruction Designs of the Moon Phase Display Device -- Assembly
Work and Models
ISBN:9783662484470
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , History , Science education , Machinery , Physics , History and Philosophical Foundations of Physics , Machinery and Machine Elements , Science Education , History of Science
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Call number:SPRINGER-2016-9783319271675:ONLINE Show nearby items on shelf
Title:Research Methodology The Aims, Practices and Ethics of Science
Author(s): Peter Pruzan
Date:2016
Edition:1st ed. 2016
Size:1 online resource (1 p.)
Note:10.1007/978-3-319-27167-5
Contents:Introduction -- Science -- Hypotheses, Theories and Laws -- Scientific Statements: Their Justification and Acceptance -- Measurement -- Experimentation -- Scientific Method and the Design of Research -- Uncertainty, Probability and
Statistics in Research -- Research -- Ethics and Responsibility in Scientific Research
ISBN:9783319271675
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Research , Science education , Physical measurements , Measurement , Statistics , Sociology , Physics , Measurement Science and Instrumentation , Research Ethics , Research Methodology , Statistics for Life Sciences, Medicine, Health Sciences , Science Education
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Call number:SPRINGER-2016-9783319263113:ONLINE Show nearby items on shelf
Title:Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
Author(s): Chiara Brombin
Date:2016
Edition:1st ed. 2016
Size:1 online resource (27 p.)
Note:10.1007/978-3-319-26311-3
Contents:Part I Offset Normal Distribution for Dynamic Shapes -- Basic Concepts and Definitions -- Shape Inference and the Offset-Normal Distribution -- Dynamic Shape Analysis Through the Offset-Normal Distribution -- Part II Combination-Based Permutation T ests for Shape Analysis -- Parametric and Non-Parametric Testing of Mean Shapes -- Applications of NPC Methodology -- Shape Inference and the Offset-Normal Distribution.
ISBN:9783319263113
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Mathematical statistics , Computer mathematics , Statistics , Statistical Theory and Methods , Probability and Statistics in Computer Science , Computational Mathematics and Numerical Analysis
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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-2014-9783642395246:ONLINE Show nearby items on shelf
Title:Modeling and Simulation [electronic resource] : An Application-Oriented Introduction
Author(s): Hans-Joachim Bungartz
Stefan Zimmer
Martin Buchholz
Dirk Pflger
Date:2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:This book provides an introduction to mathematical and computer-oriented modeling and to simulation as a universal methodology. It therefore addresses various model classes and their derivations. And it demonstrates the diversityof approaches that ca n be taken: be it discrete or continuous, deterministic or stochastic. A common underlying theme throughout the book are the means in which one obtains practical simulation results from these different abstractmodels. Subsequent to a brief review of the mathematical tools that are required, the concept of the simulation pipeline, from model derivation to the simulation, is applied to 14 example scenarios from diverse fields such asGame theory - deciding - planning, Traffic on highways and data highways, Dynamical systems and Physics in the computer. Whether it is game theory or mathematical finance, traffic or control theory, populationdynamics or chaos, or molecular dynamics, continuum mechanics or computer graphics - the reader gains insight into the world of simulation in a descriptive yet systematic way
Contents:1 Introduction
2 The necessary instruments in brief
Part I Playing deciding planning: A modeling warm
up
3 Game theory
4 Group decisions
5 Schedules
6 Wiener processes
Part II Traffic on highways and data highways: A trip through the simulation pipeline
7 Macroscopic simulation of traffic
8 Microscopic simulation of traffic
9 Stochastic traffic simulations
Part III Dynamic systems: Cause, effect and interaction
10 Population dynamics
11 Controllers
12 Chaos theory
Part IV Physics on the computer: The switch to number crunchers
13 Molecula
ISBN:9783642395246
Series:eBooks
Series:SpringerLink
Series:Springer Undergraduate Texts in Mathematics and Technology, 1867-5506
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer simulation , Computer science Mathematics , Computer science
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Call number:SPRINGER-2014-9783642375309:ONLINE Show nearby items on shelf
Title:Photoelectron Spectroscopy [electronic resource] : Bulk and Surface Electronic Structures
Author(s): Shigemasa Suga
Akira Sekiyama
Date:2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Photoelectron spectroscopy is now becoming more and more required to investigate electronic structures of various solid materials in the bulk, on surfaces as well as at buried interfaces. The energy resolution was much improved inthe last decade down to 1 meV in the low photon energy region. Now this technique is available from a few eV up to 10 keV by use of lasers, electron cyclotron resonance lamps in addition to synchrotron radiation and X-ray tubes. Highresolution angle resolved photoelectron sp ectroscopy (ARPES) is now widely applied to band mapping of materials. It attracts a wide attention from both fundamental science and material engineering. Studies of the dynamics of excitedstates are feasible by time of flight spectroscopywith fully util izing the pulse structures of synchrotron radiation as well as lasers including the free electron lasers (FEL). Spin resolved studies also made dramatic progress byusing higher efficiency spin detectors and two dimensional spin detectors. Polarization dep endent measurements in the whole photon energy spectrum of the spectra provide useful information on the symmetry of orbitals. The book dealswith the fundamental concepts and approaches for the application of this technique to materials studies. Complemen tary techniques such as inverse photoemission, photoelectron diffraction, photon spectroscopy including infrared andX-ray and scanning tunneling spectroscopy are presented. This book provides not only a wide scope of photoelectron spectroscopy of solids b ut also extends our understanding of electronic structures beyond photoelectron spectroscopy
Contents:Theoretical Background
Instrumentation and Methodology
Bulk and Surface Sensitivity of Photoelectron Spectroscopy
Examples of Angle Integrated Photoelectron Spectroscopy
Angle
Resolved Photoelectron Spectroscopy in HV
regions
High Resolution Soft X
ray Angle
Integrated and
Resolved Photoelectron Spectroscopy of Correlated Electron Systems
Very Low Photon Energy Photoelectron Spectroscopy
Inverse Photoemission
Photoelectron Diffraction
Complementary Techniques for Studying Bulk Electronic Structures
Surface Spectroscopy by Scanning Tunneling Microscope
ISBN:9783642375309
Series:eBooks
Series:SpringerLink
Series:Springer Series in Optical Sciences, 0342-4111 : v176
Series:Physics and Astronomy (Springer-11651)
Keywords: Chemistry, Physical organic , Surfaces (Physics)
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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-2014-9783319044866:ONLINE Show nearby items on shelf
Title:Risk - A Multidisciplinary Introduction [electronic resource]
Author(s): Claudia Klppelberg
Daniel Straub
Isabell M Welpe
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This is a unique book addressing the integration of risk methodology from various fields. It stimulates intellectual debate and communication across disciplines, promotes better risk management practices and contributes to thedevelopment of risk mana gement methodologies. Book chapters explain fundamental risk models and measurement, and address risk and security issues from diverse areas such as finance and insurance, health sciences, life sciences,engineering and information science. Integrated Risk Sciences is an emerging field, that considers risks in different fields aiming at a common language, and at sharing and improving methods developed in different fields. Readersshould have a Bachelor degree and at least one basic university course in stat istics and probability. The main goal of the book is to provide basic knowledge on risk and security in a common language the authors have taken particularcare to ensure that each chapter can be understood by doctoral students and researchers across disci plines. Each chapter provides simple case studies and examples, open research questions and discussion points, and a selectedbibliography inviting the reader to further studies
Contents:Introduction
Part One. Risk in History and Science: Zachmann, K.: Risk in historical perspective: concepts, contexts, and conjunctions
Ltge, C., Schnebel, E., Westphal, N.: Risk management and business ethics: integrating the human factor
Straub, D., Welpe, I.: Decision
making under risk: a normative and behavioral perspective
Mainzer, K.: The new role of mathematical modelling and its importance for society
Part Two. Quantitative Risk Methodology: Biagini, F. , Meyer
Brandis, T. and Svindland, G. :The mathematical concept of risk
Fasen, V., Klppelberg, C., Menzel, A.: Qu
ISBN:9783319044866
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geology , Computer science , Distribution (Probability theory) , Statistics , System safety , Climatic changes
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Call number:SPRINGER-2014-9783319042503:ONLINE Show nearby items on shelf
Title:A Kaizen Approach to Food Safety [electronic resource] : Quality Management in the Value Chain from Wheat to Bread
Author(s): Victoria Hill
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book provides a Management Science approach to quality management in food production. Aspects of food quality, product conformance and reliability/food safety are examined, starting with wheat and ending with its value chaintransformation into b read. Protein qualities that influence glycemic index levels in bread are used to compare the value chains of France and the US. With Kaizen models the book shows how changes in these characteristics are the resultof management decisions made by the wheat growers in response to government policy and industry strategy. Lastly, it provides step-by-step instructions on how to apply kaizen methodology and Deming's work on quality improvement to makethe HACCPs (Hazard Analysis and Critical Control Points) in f ood safety systems more robust
Contents:The Bread VC: Its Health Impact and Structure in France and the U.S
Government Regulation of Food Quality: International and in France and the U.S
Industry Regulation of Quality in Bread, Flour and Wheat in France and the U.S
Discussion of Literature Review and Preliminary Data Analysis
Modelling the Value Stream for Bread, Flour and Wheat Production
QFD Models of French and U.S. Wheat Management Practices
HACCP and VSM Models of French and U.S. Wheat Production Processes
Findings, Recommendations and Conclusion
ISBN:9783319042503
Series:eBooks
Series:SpringerLink
Series:Contributions to Management Science, 1431-1941
Series:Mathematics and Statistics (Springer-11649)
Keywords: Economics , Food science , Mathematical optimization , System safety , Operations research
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Call number:SPRINGER-2013-9783642303678:ONLINE Show nearby items on shelf
Title:Model Based Parameter Estimation [electronic resource] : Theory and Applications
Author(s): Hans Georg Bock
Thomas Carraro
Willi Jger
Stefan Krkel
Rolf Rannacher
Johannes P Schlder
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 judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine,chemistry, environmental physi cs, image processing and computer vision. The material chosen was presented at a multidisciplinary workshop on parameter estimation held in 2009 in Heidelberg. The contributions show how indispensableefficient methods of applied mathematics and computer-b ased modeling can be to enhancing the quality of interdisciplinary research. The use of scientific computing to model, simulate, and optimize complex processes has become astandard methodology in many scientific fields, as well as in industry. Demonstrat ing that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book providesadvanced numerical methods and the very latest results for the applications under consideration
Note:Springer eBooks
Contents:Parameter Estimation and Optimum Experimental Design for Differential Equation Models: H.G. Bock, St. Krkel, J.P. Schlder
Adaptive Finite Element Methods for Parameter Identification Problems: B. Vexler
Gauss
Newton Methods for Robust Parameter Estimation: T. Binder, E. Kostina
An Optimal Scanning Sensor Activation Policy for Parameter Estimation of Distributed Systems: D. Ucnski
Interaction between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway: E. Friedmann, A. C. Pfeifer, R. Neumann, U. Klingmller , R. Rannacher
The Importan
ISBN:9783642303678
Series:e-books
Series:SpringerLink (Online service)
Series:Contributions in Mathematical and Computational Sciences, 2191-303X : v4
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Differential equations, partial , Computer science , Numerical analysis , Mathematical optimization
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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-2013-9783319009667:ONLINE Show nearby items on shelf
Title:Mathematics, Computer Science and Logic - A Never Ending Story [electronic resource] : The Bruno Buchberger Festschrift
Author(s): Peter Paule
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents four mathematical essays which explore the foundations of mathematics and related topics ranging from philosophy and logic to modern computer mathematics. While connected to the historical evolution of theseconcepts, the essays pla ce strong emphasis on developments still to come. The book originated in a 2002 symposium celebrating the work of Bruno Buchberger, Professor of Computer Mathematics at Johannes Kepler University, Linz, Austria,on the occasion of his 60th birthday. Among many other accomplishments, Professor Buchberger in 1985 was the founding editor of the Journal of Symbolic Computation the founder of the Research Institute for Symbolic Computation (RISC)and its chairman from 1987-2000 the founder in 1990 of the Softwar epark Hagenberg, Austria, and since then its director. More than a decade in the making, Mathematics, Computer Science and Logic - A Never Ending Story includes essaysby leading authorities, on such topics as mathematical foundations from the perspective of computer verification a symbolic-computational philosophy and methodology for mathematics the role of logic and algebra in softwareengineering and new directions in the foundations of mathematics. These inspiring essays invite general, mathematically i nterested readers to share state-of-the-art ideas which advance the never ending story of mathematics, computerscience and logic. Mathematics, Computer Science and Logic - A Never Ending Story is edited by Professor Peter Paule, Bruno Buchbergers successo r as director of the Research Institute for Symbolic Computation
Note:Springer eBooks
Contents:Preface
Henk Barendregt: Foundations of Mathematics from the Perspective of Computer Verification
Manfred Broy: On the Role of Logic and Algebra in Software Engineering
Stephen Wolfram: New Directions in the Foundations of Mathematics (2002)
Doron Zeilberger: Towards a Symbolic Computational Philosophy (and Methodology!) for Mathematics
ISBN:9783319009667
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Software engineering , Information theory , Algorithms , Computer software , Logic, Symbolic and mathematical
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Call number:SPRINGER-2013-9781461485117:ONLINE Show nearby items on shelf
Title:Finance with Monte Carlo [electronic resource]
Author(s): Ronald W Shonkwiler
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 text introduces upper division undergraduate/beginning graduate students in mathematics, finance, or economics, to the core topics of a beginning course in finance/financial engineering. Particular emphasis is placed onexploiting the power of th e Monte Carlo method to illustrate and explore financial principles. Monte Carlo is the uniquely appropriate tool for modeling the random factors that drive financial markets and simulating their implications.The Monte Carlo method is introduced early and it is used in conjunction with the geometric Brownian motion model (GBM) to illustrate and analyze the topics covered in the remainder of the text. Placing focus on Monte Carlo methodsallows for students to travel a short road from theory to practical ap plications. Coverage includes investment science, mean-variance portfolio theory, option pricing principles, exotic options, option trading strategies, jumpdiffusion and exponential Lvy alternative models, and the Kelly criterion for maximizing investment growth. Novel features: inclusion of both portfolio theory and contingent claim analysis in a single text pricing methodology forexotic options expectation analysis of option trading strategies pricing models that transcend the BlackScholes framework opt imizing investment allocations concepts thoroughly explored through numerous simulation exercises numerousworked examples and illustrations The mathematical background required is a year and one-half course in calculus, matrix algebra covering solutions o f linear systems, and a knowledge of probability including expectation, densities andthe normal distribution. A refresher for these topics is presented in the Appendices. The programming background needed is how to code branching, loops and subroutines in some mathematical or general purpose language. The mathematicalbackground required is a year and one-half course in calculus, matrix algebra covering solutions of linear systems, and a knowledge o
Note:Springer eBooks
Contents:1. Geometric Brownian Motion and the Efficient Market Hypothesis
2. Return and Risk
3. Forward and Option Contracts and their Pricing
4. Pricing Exotic Options
5. Option Trading Strategies
6. Alternative to GBM Prices
7. Kelly's Criterion
Appendices
A. Some Mathematical Background Topics
B. Stochastic Calculus
C. Convergence of the Binomial Method
D. Variance Reduction Techniques
E. Shell Sort
F. Next Day Prices Program
References
List of Notation
List of Algorithms
Index
ISBN:9781461485117
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Texts in Mathematics and Technology, 1867-5506
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Numerical analysis , Distribution (Probability theory)
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Call number:SPRINGER-2013-9781461473060:ONLINE Show nearby items on shelf
Title:Derivative Securities and Difference Methods [electronic resource]
Author(s): You-lan Zhu
Xiaonan Wu
I-Liang Chern
Zhi-zhong Sun
Date:2013
Edition:2nd ed. 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 book is mainly devoted to finite difference numerical methods for solving partial differential equation (PDE) models of pricing a wide variety of financial derivative securities. With this objective, the book is divided intotwo main parts. In th e first part, after an introduction concerning the basics on derivative securities, the authors explain how to establish the adequate PDE initial/initial-boundary value problems for different sets of derivativeproducts (vanilla and exotic options, and int erest rate derivatives). For many option problems, the analytic solutions are also derived with details.The second part is devoted to explaining and analyzing the application of finitedifferences techniques to the financial models stated in the first part of the book. For this, the authors recall some basics on finite difference methods, initial boundary value problems, and (having in view financial products withearly exercise feature) linear complementarity and free boundary problems. In each chapter, th e techniques related to these mathematical and numerical subjects are applied to a wide variety of financial products. This is a textbook forgraduate students following a mathematical finance program as well as a valuable reference for those researchers w orking in numerical methodsof financial derivatives. For this new edition, the book has been updated throughout withmany new problems added. More details about numerical methods for some options, for example, Asian options with discrete sampling, are prov ided and the proof of solution-uniqueness of derivative security problems and the completestability analysis of numerical methods for two-dimensional problems are added. Review of first edition: the book is highly well designed and structured as a textboo k for graduate students following a mathematical financeprogram, which includes Black-Scholes dynamic hedging methodology to price financial derivatives. Also, it is a very valuable refe
Note:Springer eBooks
Contents:Introduction
European Style Derivatives
American Style Derivatives
Exotic Options
Interest Rate Derivative Securities
Basic Numerical Methods
Finite Difference Methods
Initial
Boundary Value and LC Problems
Free
Boundary Problems
Interest Rate Modeling
ISBN:9781461473060
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Finance, 1616-0533
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential equations, partial , Finance , Computer science Mathematics , Numerical analysis
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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-2013-9781461453895:ONLINE Show nearby items on shelf
Title:Advances in Applied Mathematics, Modeling, and Computational Science [electronic resource]
Author(s): Roderick Melnik
Ilias S Kotsireas
Date:2013
Publisher:Boston, MA : Springer US : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume presents a selection of in-depth studies and state-of-the-art surveys of several challenging topics that are at the forefront of modern applied mathematics, mathematical modeling, and computational science. Thesethree areas represent the foundation upon which the methodology of mathematical modeling and computational experiment is built as a tool in all areas of applications of mathematics. The articles cover both fundamental and appliedresearch, and provide the reader with state-of-the-a rt achievements in the development and application of new theories at the interfaces of applied mathematics, modeling, and computational science. The book can serve as a reference onseveral important current topics in modern applied mathematics and modeli ng, including random matrix theory with its innovative applications, and dynamic blocking problems. Other important areas covered include: energy stable weightedessentially non-oscillatory schemes with applications in fluid dynamics and aerospace sciences elliptic curves over finite fields and their applications in cryptographymultiple scale methods coupling network and continuum modelsand theirapplications in various areas involving porous media new and efficientfinite difference schemes for hyperbolic eq uations statistical geometric and topological techniques and their applications in the lifesciencesoptimal control applications combining discrete and continuous features. The material presented in this book aims at fostering interdisciplinary collaborati ons required to meet the modern challenges of applied mathematics,modeling and computational science. At the same time, the contributions combine rigorous mathematical and computational procedures and examples froma variety of applications ranging from en gineering to life sciences, and provide arich source for graduate student projects
Note:Springer eBooks
ISBN:9781461453895
Series:e-books
Series:SpringerLink (Online service)
Series:Fields Institute Communications, 1069-5265 : v66
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2013-9781441979971:ONLINE Show nearby items on shelf
Title:Handbook of Combinatorial Optimization [electronic resource]
Author(s): Panos M Pardalos
Ding-Zhu Du
Ronald L Graham
Date:2013
Edition:2nd ed. 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:The second edition of this 5-volume handbook is intended to be a basic yet comprehensive reference work in combinatorial optimization that will benefit newcomers and researchers for years to come. This multi-volumework dealswith several algorithmic a pproaches for discrete problems as well as with many combinatorial problems. The editors have brought together almost every aspect of this enormous field of combinatorial optimization, an area of research atthe intersection of applied mathematics, compute r science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communications networks, and managementscience. Aninternational team of 30-40 experts in the field form the edi torial board. The Handbook of Combinatorial Optimization, second edition is addressed to all scientists who use combinatorial optimization methods to model andsolve problems. Experts in the field as well as non-specialists will find the material stimulati ng and useful
Note:Springer eBooks
Contents:Introduction
Part 1. General Methodology
Analysis of Greedy Approximations
Guillotine Partition in Geometric Optimization
Mixed
Integer Nonlinear Optimization in Process Synthesis
Connection between Nonlinear Programming and Discrete Optimization
Interior Point Methods for Combinatorial Optimization
Fractional Combinatorial Optimization
Reformulation
Linearization Techniques for Discrete Optimization Problems
Grobner Bases in Integer Programming
Dynamical System Approaches to Combinatorial Optimization
Semidefinite Relaxation, Multivariate Norma Distribution an
ISBN:9781441979971
Series:e-books
Series:SpringerLink (Online service)
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
Note:Springer 2013 e-book collections
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-2012-9783642271779:ONLINE Show nearby items on shelf
Title:Thermo-Hydro-Mechanical-Chemical Processes in Porous Media [electronic resource] : Benchmarks and Examples
Author(s): Olaf Kolditz
Uwe-Jens Grke
Hua Shao
Wenqing Wang
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book comprises an assembly of benchmarks and examples for porous media mechanics collected over the last twenty years. Analysis of thermo-hydro-mechanical-chemical (THMC) processes is essential to many applications inenvironmental engineering, su ch as geological waste deposition, geothermal energy utilisation, carbon capture and storage, water resources management, hydrology, even climate chance. In order to assess the feasibility as well as thesafety of geotechnical applications, process-based m odelling is the only tool to put numbers, i.e. to quantify future scenarios. This charges a huge responsibility concerning the reliability of computational tools. Benchmarking is anappropriate methodology to verify the quality of modelling tools based on best practices. Moreover, benchmarking and code comparison foster community efforts. The benchmark book is part of the OpenGeoSys initiative - an open sourceproject to share knowledge and experience in environmental analysis and scientific computation
Note:Springer eBooks
ISBN:9783642271779
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v86
Series:Mathematics and Statistics (Springer-11649)
Keywords: Computer science , Computer science Mathematics , Hydraulic engineering , Environmental sciences
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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-2012-9783642215513:ONLINE Show nearby items on shelf
Title:Handbook of Computational Statistics [electronic resource] : Concepts and Methods
Author(s): James E Gentle
Wolfgang Karl Hrdle
Yuichi Mori
Date:2012
Edition:2nd ed. 2012. revised and updated
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well asthree new chapters add ressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with How Computational Statistics became the backbone ofmodern data science (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current activeresearch. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies fortransformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulationand visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medi cal Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computationalstatistics in real-world applications
Note:Springer eBooks
Contents:Part I Computational Statistics
Part II Statistical Computing
Part III Statistical Methodology
Part IV Selected Applications
ISBN:9783642215513
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Handbooks of Computational Statistics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2012-9781461457671:ONLINE Show nearby items on shelf
Title:Climate Change Modeling Methodology [electronic resource] : Selected Entries from the Encyclopedia of Sustainability Science and Technology
Author(s): Philip J Rasch
Date:2012
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:The Earth's average temperature has risen by 1.4F over the past century, and computer models project that it will rise much more over the next hundred years, with significant impacts on weather, climate, and human society. Manyclimate scientists attr ibute these increases to the buildup of greenhouse gases produced by the burning of fossil fuels and to the anthropogenic production of short-lived climate pollutants. Climate Change Modeling Methodologies:Selected Entries from the Encyclopedia of Sustain ability Science and Technology provides readers with an introduction to the tools and analysis techniques used by climate change scientists to interpret the role of these forcing agentson climate. Readers will also gain a deeper understanding of the stren gths and weaknesses of these models and how to test and assess them. The contributions include a glossary of key terms and a concise definition of the subjectfor each topic, as well as recommendations for sources of more detailed information. Features aut horitative, peer-reviewed contributions on the development and use ofcontemporary methods in climate change science Provides insightinto the construction, assessment, and testing of climate models Covers individual component models for the atmosphere, oce an, land, and ice, and discusses their contribution to an example of climate change in monsoon systems Discusseshow climate change models can shed light on the changing climate of the past and on possible shifts in the future
Note:Springer eBooks
Contents:1. Climate Change Modeling Methodology, Introduction
2. Coupled Climate and Earth System Models
3. Cryosphere, Modeling of
4. Oceanic General Circulation Models
5. Weather Prediction Models
6. Atmospheric General Circulation Modeling
7. Earth System Model, Modeling the Land Component of
8. Integrated Assessment Modeling
9. Regional Climate Models
10. Climate Change Projections: Characterizing Uncertainty Using Climate Models
11. Climate Predictions, Seasonal
to
Decadal
12. Monsoon Systems, Modeling of
Index
ISBN:9781461457671
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Computer simulation , Climatic changes , Sustainable development
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Call number:SPRINGER-2012-9780387714189:ONLINE Show nearby items on shelf
Title:Neutral and Indifference Portfolio Pricing, Hedging and Investing [electronic resource] : With applications in Equity and FX
Author(s): Srdjan Stojanovic
Date:2012
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 book is written for quantitative finance professionals, students, educators, and mathematically inclined individual investors. It is about some of the latest developments in pricing, hedging, and investing in incompletemarkets. With regard to pr icing, two frameworks are fully elaborated: neutral and indifference pricing. With regard to hedging, the most conservative and relaxed hedging formulas are derived. With regard to investing, the neutralpricing methodology is also considered as a tool for connecting market asset prices with optimal positions in such assets. While there are many books on the financial mathematics of incomplete markets based on probability, andequivalent martingale measure approach to pricing, this book is based solely on t he analytical aspects of stochastic control, or more precisely, portfolio optimization. Namely, relying solely on portfolio optimization, neutral andindifference pricing as well as hedging methodologies were fully developed in the context of arbitrary dif fusiveMarkovian market models and portfolios of contracts. That was made possible by some recent discoveries, the most specificone being a recently found matrix inverse the fundamental matrix of derivatives pricing and hedging. This approach, while very general, is very feasible for practical implementations. So, many examples are fully derived. The readerwill get the full understanding of the relationship between neutral and indifference pricing, how to implement either one of these pricing methodologie s, how to implement hedging methodologies, and how to apply all these in equityportfolio valuations and foreign exchange. SrdjanD.Stojanovic isProfessor in the Department of Mathematical Sciences at University of Cincinnati (USA) and Professor in the Cent er for Financial Engineering at Suzhou University(China)
Note:Springer eBooks
Contents:Preface
Background Material
Simple economiescomplete and incomplete markets
Investment Portfolio Optimization
Pricing: Neutral and Indifference
Hedging
Equity Valuation and Investing
FX Rates and FX Derivatives
Appendix
References
ISBN:9780387714189
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential equations, partial , Finance , Computer science Mathematics
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Call number:SPRINGER-2011-9789400700055:ONLINE Show nearby items on shelf
Title:Dual Tableaux: Foundations, Methodology, Case Studies [electronic resource]
Author(s): Ewa Orlowska
Joanna Goliska Pilarek
Date:2011
Publisher:Dordrecht : Springer Netherlands : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book presents logical foundations of dual tableaux together with a number of their applications both to logics traditionally dealt with in mathematics and philosophy (such as modal, intuitionistic, relevant, and many-valuedlogics) and to various applied theories of computational logic (such as temporal reasoning, spatial reasoning, fuzzy-set-based reasoning, rough-set-based reasoning, order-of magnitude reasoning, reasoning about programs, thresholdlogics, logics of conditional decisions). The di stinguishing feature of most of these applications is that the corresponding dual tableaux are built in a relational language which provides useful means of presentation of the theories.In this way modularity of dual tableaux is ensured. We do not need to develop and implement each dual tableau from scratch, we should only extend the relational core common to many theories with the rules specific for a particulartheory
Note:Springer eBooks
Contents:1. Dual Tableau for Classical First
Order Logic
2. Dual Tableaux for Logics of Classical Algebras of Binary
3. Theories of Point Relations and Relational Model Checking
4. Dual Tableaux for Peirce Algebras
5. Dual Tableaux for Fork Algebras
6. Dual Tableaux for Relational Databases
Part III. Relational Reasoning in Traditional Non
classical Logics
7. Dual Tableaux for Classical Modal Logics
8. Dual Tableaux for Some Logics Based on Intuitionism
9. Dual Tableaux for Relevant Logics
10. Dual Tableaux for Many
valued Logics
Part IV. Relational Reasoning in Logi
ISBN:9789400700055
Series:e-books
Series:SpringerLink (Online service)
Series:Trends in Logic, 1572-6126 : v33
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Logic , Computer science , Logic, Symbolic and mathematical
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Call number:SPRINGER-2011-9783642179372:ONLINE Show nearby items on shelf
Title:Multicriteria Analysis [electronic resource] : Applications to Water and Environment Management
Author(s): Mahdi Zarghami
Ferenc Szidarovszky
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:Multicriteria analysis is one of the most important fields of decision science. This book gives an outline of the formulation of an appropriate model and presents a comprehensive summary of the most popular methods for solvingmulticriteria decision p roblems. In addition to the classical approach the book introduces fuzzy and stochastic methodology, models with uncertainty, social choice and conflict resolution. All methods are illustrated with easy tofollow simple examples. At the end of each chapter detailed case studies are given in water and environment management including inter-basin water transfer, urban water management, water allocation, groundwater quality management,forest treatment, ranking water resources projects, reservoir planning, wat er distribution network design and long-term watershed management. The new methodology and the wide variety of case studies are not easily accessibleelsewhere
Note:Springer eBooks
ISBN:9783642179372
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Civil engineering , Environmental pollution , Economics, Mathematical
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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-2011-9781441998903:ONLINE Show nearby items on shelf
Title:Data Mining with Rattle and R [electronic resource] : The Art of Excavating Data for Knowledge Discovery
Author(s): Graham Williams
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:Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing datamining many decisions n eed to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the morepopular algorithms of data mining. With a fo cus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built onthe sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, modelevaluation, and practical deployment. The reader will learn to rapidly deliver a data mining proj ect using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data miningenvironment with all the power, and more, of the many commercial offerings
Note:Springer eBooks
Contents:Introduction
Getting Started
Working with Data
Loading Data
Exploring Data
Interactive Graphics
Transforming Data
Descriptive and Predictive Analytics
Cluster Analysis
Association Analysis
Decision Trees
Random Forests
Boosting
Support Vector Machines
Model Performance Evaluation
Deployment
ISBN:9781441998903
Series:e-books
Series:SpringerLink (Online service)
Series:Use R
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2011-9781441998422:ONLINE Show nearby items on shelf
Title:Modern Issues and Methods in Biostatistics [electronic resource]
Author(s): Mark Chang
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:Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simpleapplication of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data)have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2)high-level complexity of data because they are longitudinal, incomplete, o r latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reductionimpossible, or because of extremely small or large size and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written forresearchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce moder n methods in biostatistics and help researchers and students quickly grasp key concepts and methods.Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed inthis s ingle volume
Note:Springer eBooks
Contents:Multiple
Hypothesis Testing Strategy
Pharmaceutical Decision and Game Theory
Noninferiority Trial Design
Adaptive Trial Design
Missing Data Imputation and Analysis
Multivariate and Multistage Survival Data Modeling
Meta
analysis
Data Mining and Signal Detection
Monte Carlo Simulation
Bayesian Methods and Applications
ISBN:9781441998422
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Mathematics , Engineering
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Call number:SPRINGER-2011-9781441997821:ONLINE Show nearby items on shelf
Title:Targeted Learning [electronic resource] : Causal Inference for Observational and Experimental Data
Author(s): Mark J van der Laan
Sherri Rose
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:The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever data sets are massive, often measuring hundreds of thousands of measurements for a single subject.The fieldis ready to move towards c lear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjectivechoices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at bothstatisticians and applied researchers interested in causal inference and ge neral effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihoodestimator, including related concepts necessary to understand and apply these methods. Parts II-IX h andle complex data structures and topics applied researchers will immediately recognize from their own research, includingtime-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, a nd genomic studies. Targeted Learning, by Mark J. van der Laan and Sherri Rose, fills a much neededgap in statistical and causal inference. It protects us from wasting computational, analytical, and data resources on irrelevant aspects of a problem and te aches us how to focus on what is relevant answering questions thatresearchers truly care about. -Judea Pearl, Computer Science Department, University of California, Los Angeles In summary, this book should be on the shelf of every investigator who conduc ts observational research and randomizedcontrolled trials. The concepts and methodology are foundational for causal inference and at the same time stay true to what the data at hand can say a
Note:Springer eBooks
Contents:Models, Inference, and Truth
The Open Problem
Defining the Model and Parameter
Super Learning
Introduction to TMLE
Understanding TMLE
Why TMLE?
Bounded Continuous Outcomes
Direct Effects and Effect Among the Treated
Marginal Structural Models
Positivity
Robust Analysis of RCTs Using Generalized Linear Models
Targeted ANCOVA Estimator in RCTs
Independent Case
Control Studies
Why Match? Matched Case
Control Studies
Nested Case
Control Risk Score Prediction
Super Learning for Right
Censored Data
RCTs with Time
to
Event Outcomes
RCTs with Time
ISBN:9781441997821
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2011-9781441996220:ONLINE Show nearby items on shelf
Title:NanoBiosensing [electronic resource] : Principles, Development and Application
Author(s): Huangxian Ju
Xueji Zhang
Joseph Wang
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 will cover the full scope of nanobiosensing, which combines the newest research results in the cross-disciplines of chemistry, biology, and materials science with biosensing and bioanalysis to develop novel detectionprinciples, sensing mech anisms, and device engineering methods. It not only covers the important types of nanomaterials for biosensing applications, including carbon nanotubes, carbon nanofiber, quantum dots, fullerenes, fluorescentand biological molecules, etc., but also illust rates a wide range of sensing principles, including electrochemical detection, fluorescence, chemiluminesence, antibody-antigen interactions, and magnetic detection. The book details noveldevelopments in the methodology and devices of biosensing and bioan alysis combined with nanoscience and nanotechnology, as well as their applications in biomedicine and environmental monitoring. Furthermore, the reported works on theapplication and biofunction of nanoparticles have attracted extensive attention and inter est, thus they are of particular interest to readers. The reader will obtain a rich survey of nanobiosensing technology, including the principlesand application of biosensing, the design and biofunctionalization of bionanomaterials, as well as the methodo logy to develop biosensing devices and bioanalytical systems
Note:Springer eBooks
Contents:Preface
Biofunctionalization of nanomaterials
Signal amplification of nanobiosensing
Nanostructured mimic enzymes for biocatalysis and biosensing
Porphyrin
based nanocomposites for biosensing
Carbon nanofiber doped nanocomposites for biosensing
Biosensing based on nanoporous silica
Electrochemical biosensing based on carbon nanotubes
Electrogenerated chemiluminsecence biosensing of quantum dots
Biosensing application of molecularly imprinted nanoparticles
Biosensors based on sol
gel nanoparticles matrices
Nanostructure for nitric oxide electrochemical sensing
ISBN:9781441996220
Series:e-books
Series:SpringerLink (Online service)
Series:Biological and Medical Physics, Biomedical Engineering, 1618-7210
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Biomedical engineering , Nanotechnology
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Call number:SPRINGER-2011-9781441973382:ONLINE Show nearby items on shelf
Title:The Fundamentals of Modern Statistical Genetics [electronic resource]
Author(s): Nan M Laird
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 covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendels first experiments to genome-wideassociation studies, the book de scribes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation,linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intendedaudience is statisticians, biostatisticians, epidemiologists and quantitatively- orien ted geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or topursue research in methodology. A background in intermediate level statistical methods is required. The aut hors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels.No background in genetics is assumed. Dr. Laird is a Professor of Biostatistics in the Biostatistics Department at the Harvard Sc hool of Public Health. Dr. Laird has contributed to methodology in many different fields, includingmissing data, EM-algorithm, meta-analysis, statistical genetics, and has coauthored a book with Garrett Fitzmaurice and James Ware on Applied Longitudinal A nalysis. She is the recipient of many awards and prizes, including Fellow ofthe American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award. Dr. Lange is an Associa te Professor in the Biostatistics Department at theHarvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistica
Note:Springer eBooks
Contents:Introduction to statistical genetics and background in molecular genetics
Principles of inheritance: mendel's laws and genetic models
Some basic concepts from population genetics
Aggregation, heritability and segregation analysis: modeling genetic inheritance without genetic data
The general concepts of gene mapping: Linkage, association, linkage disequilibrium and marker maps
Basic concepts of linkage analysis
The basics of genetic association analysis
Population substructure in association studies
Association analysis in family designs
Advanced topics
Genome wid
ISBN:9781441973382
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Human genetics , Epidemiology , Biometrics , Statistical methods
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Call number:SPRINGER-2010-9783642136245:ONLINE Show nearby items on shelf
Title:EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology [electronic resource]
Author(s): Joung Hwan Lee
Habin Lee
Jung-Sik Kim
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Current research fields in science and technology were presented and discussed at the EKC2008, informing about the interests and directions of the scientists and engineers in EU countries and Korea. The Conference has emerged fromthe idea of bringing together EU and Korea to get to know each other better, especially in fields of science and technology
Note:Springer eBooks
Contents:Past, Present and Future Contribution on Research and Development of Aero
Propulsion Systems in Korea
Application of Bioelectrochemical Process (BES) for Electricity Generation and Sustainable Wastewater Treatment
Trend of Mathematical Models in Microbial Fuel Cell for Environmental Energy Refinery from Waste/Water
Optimization Methodology of Low Carbon Mixed Energy Systems Using the Bees Algorithm
Technology Co
evolution Analysis in the Energy Sector
Optimal Operation System of the Integrated District Heating System with Multiple Regional Branches
A Research on the Applicati
ISBN:9783642136245
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Physics, 0930-8989 : v135
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Hydraulic engineering , Mechanical engineering , Telecommunication
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Call number:SPRINGER-2010-9783642115899:ONLINE Show nearby items on shelf
Title:Designing Quantitative Experiments [electronic resource] : Prediction Analysis
Author(s): John Wolberg
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The method of Prediction Analysis is applicable for anyone interested in designing a quantitative experiment. The design phase of an experiment can be broken down into problem dependent design questions (like the type of equipmentto use and the exper imental setup) and generic questions (like the number of data points required, range of values for the independent variables and measurement accuracy). This book is directed towards the generic design phase of theprocess. The methodology for this phase of the design process is problem independent and can be applied to experiments performed in most branches of science and technology. The purpose of the prediction analysis is to predict theaccuracy of the results that one can expect from a proposed experime nt. Prediction analyses can be performed using the REGRESS program which was developed by the author and can be obtained free-of-charge through the author's website.Many examples of prediction analyses are included in the book ranging from very simple exp eriments based upon a linear relationship between the dependent and independent variables to experiments in which the mathematical models arehighly non-linear
Note:Springer eBooks
Contents:TOC: Part I : Basic Concepts
Introduction
Statistical Background
Least Squares
Prediction Analysis
Part II : Analysis of Experiments
Experiments with a Single Independent Variable
Experiments with Several Independent Variables
Experiments with Several Dependent Variables
ISBN:9783642115899
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering
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Call number:SPRINGER-2010-9783642046506:ONLINE Show nearby items on shelf
Title:Advances in the Atomic-Scale Modeling of Nanosystems and Nanostructured Materials [electronic resource]
Author(s): Carlo Massobrio
Herv Bulou
Christine Goyhenex
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book covers a variety of applications of modern atomic-scale modeling of materials in the area of nanoscience and nanostructured systems. By highlighting the most recent achievements obtained within a single institute, at theforefront of material science studies, the authors are able to provide a thorough description of properties at the nanoscale. The areas covered are structural determination, electronic excitation behaviors, clusters on surfacemorphology, spintronics and disordered materials. For each application, the basics of methodology are provided, allowing for a sound presentation of approaches such as density functional theory (of ground and excited states),electronic transport and molecular dynamics in its classical and first-principle s forms. The book is a timely collection of theoretical nanoscience contributions fully in line with current experimental advances
Note:Springer eBooks
Contents:Collective Electron Dynamics in Metallic and Semiconductor Nanostructures
Weak Chemical Interaction and van der Waals Forces: A Combined Density Functional and Intermolecular Perturbation Theory Application to Graphite and Graphitic Systems
Reactive Simulations for Biochemical Processes
Molecular Dynamics Simulations of Liquid
Crystalline Dendritic Architectures
Surface Diffusion on Inhomogeneous Surfaces
Electronic, Magnetic and Spectroscopic Properties of Vanadium, Chromium and Manganese Nanostructures
Electronic Structure and Magnetism of Double Perovskite Systems
E
ISBN:9783642046506
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Physics, 0075-8450 : v795
Series:Physics and Astronomy (Springer-11651)
Keywords: Materials , Engineering mathematics , Nanotechnology
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Call number:SPRINGER-2010-9783642017773:ONLINE Show nearby items on shelf
Title:Symplectic Geometric Algorithms for Hamiltonian Systems [electronic resource]
Author(s): Kang Feng
Mengzhao Qin
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Symplectic Geometric Algorithms for Hamiltonian Systems will be useful not only for numerical analysts, but also for those in theoretical physics, computational chemistry, celestial mechanics, etc. The book generalizes anddevelops the generating func tion and Hamilton-Jacobi equation theory from the perspective of the symplectic geometry and symplectic algebra. It will be a useful resource for engineers and scientists in the fields of quantum theory,astrophysics, atomic and molecular dynamics, climate prediction, oil exploration, etc. Therefore a systematic research and development of numerical methodology for Hamiltonian systems is well motivated. Were it successful, it wouldimply wide-ranging applications
Note:Springer eBooks
Contents:Preliminaries of Differential Manifolds
Symplectic Algebra and Geometry Preliminaries
Hamiltonian Mechanics and Symplectic Geometry
Symplectic Difference Schemes for Hamiltonian Systems
The Generating Function Method
The Calculus of Generating Function and Formal Energy
Symplectic Runge
Kutta Methods
Composition Scheme
Formal Power Series and B
Series
Volume
Preserving Methods for Source
Free Systems
Free Systems
Contact Algorithms for Contact Dynamic Systems
Poisson Bracket and Lie
Poisson Schemes
KAM Theorem of Symplectic Algorithms
Lee
Variational I
ISBN:9783642017773
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Geometry , Algebraic topology , Quantum theory , Hydraulic engineering
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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
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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-2010-9781441904683:ONLINE Show nearby items on shelf
Title:Multivariate Nonparametric Methods with R [electronic resource] : An approach based on spatial signs and ranks
Author(s): Hannu Oja
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysisrelying on the assumptio n of multivariate normality the regular L2 norm is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simpleone-sample multivariate location problem and proc eeding to the general multivariate multiple linear regression case is presented. Companion estimates and tests for scatter matrices are considered as well. The R package MNM is availablefor computation of the procedures. This monograph provides an up-to-d ate overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. The classical book by Puri and Sen (1971) uses marginal signs andranks and different type of L1 norm. The book may serve as a textbook and a general referen ce for the latest developments in the area. Readers are assumed to have a good knowledge of basic statistical theory as well as matrix theory.Hannu Oja is an academy professor and a professor in biometry in the University of Tampere. He has authored and c oauthored numerous research articles in multivariate nonparametrical and robust methods as well as in biostatistics
Note:Springer eBooks
Contents:Introduction
Multivariate location and scatter models
Location and scatter functionals and sample statistics
Multivariate signs and ranks
One
sample problems: Hotellings T2
test
One
sample problem: Spatial sign test and spatial median
One
sample problem: Spatial signed
rank test and Hodges
Lehmann estimate
One
sample problem: Comparisons of tests and estimates
One
sample problem: Inference for shape
Multivariate tests of independence
Several
sample location problem
Randomized blocks
Multivariate linear regression
Analysis of cluster
correlated data
ISBN:9781441904683
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v199
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer simulation , Biometrics , Computer science Mathematics , Mathematical statistics , Econometrics
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Call number:SPRINGER-2010-9780387854618:ONLINE Show nearby items on shelf
Title:Elements of Adaptive Testing [electronic resource]
Author(s): Wim J van der Linden
Cees A.W Glas
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:The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items toautomatically adapt their selectio n to a real-time update of the test takers ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensionalabilities, sequencing adaptive test batteries, multistage a daptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing.It also shows how these features are used in the daily operations of several larg e-scale adaptive testing programs. Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometrictheory and methods, and he has been an active researcher of adaptive testing throughout his career. Fo r Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He isa past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Mea surement in Education (NCME) and the Association of Test Publishers (ATP). Cees A. W. Glas is Professor ofSocial Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis o n item response theory, adaptive testing, model fit analysis, and missing data.Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programsfor international student assessment (PISA) and the assessment of adult competencies (PIAAC)
Note:Springer eBooks
Contents:Item selection and ability estimation in adaptive testing
Constrained adaptive testing with shadow tests
Principles of multidimensional adaptive testing
Multidimensional adaptive testing with Kullback
Liebler information item selection
Sequencing an adaptive test battery
Adaptive tests for measuring anxiety and depression
MATHCAT: A flexible testing system in mathematics education for adults
Implementing the Graduate Management admission test computerized adaptive test
Designing and implementing a multistage adaptive test: The uniform CPA exam
A Japanese adaptive tes
ISBN:9780387854618
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Educational tests and measurements , Psychometrics
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Call number:SPRINGER-2009-9788847008151:ONLINE Show nearby items on shelf
Title:Statistics for Innovation [electronic resource] : Statistical Design of Continuous Product Innovation
Author(s): Pasquale Erto
Date:2009
Publisher:Milano : Springer Milan
Size:1 online resource
Note:Springer e-book platform
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Note:The objective of this book is to illustrate statistical methodologies that incorporate physical and numerical experiments and that allow one to schedule and plan technological innovation, similar to any other productive activity.This methodology shou ld be implemented through a structured procedure aimed at reducing the high rate of commercial failure characterizing actual innovation processes. In fact, it is well known that: i) The rate of commercial failureof a innovative idea is very high (9094 out of 100 proposals for innovation undergo substantial failure in the EU and in the USA). ii) Low reliability in the long run and sensitivity to usage conditions are the factors thatdetermine the failure of the innovation. The definition of an iterative des ign activity is an objective that can be reached by subdividing the complex innovation process into short steps in experimental statistics research. Theapproach adopted to analyze customer needs and the tools used to reduce unwanted variability form the f ramework for the statistical design of continuous product innovation. Starting from the observation that product innovation isachieved when a quality that is able to satisfy a new customer need is conferred on the product and survives over real operating conditions and time, this book illustrates the operative steps required to perform the wholeinnovation process iteratively
Note:Springer eBooks
ISBN:9788847008151
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Mathematical statistics , Engineering design , System safety
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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
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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-2009-9781402091070:ONLINE Show nearby items on shelf
Title:Quantum Reality, Relativistic Causality, and Closing the Epistemic Circle [electronic resource] : Essays in Honour of Abner Shimony
Author(s): Wayne C Myrvold
Joy Christian
Date:2009
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:In July 2006, a major international conference was held at the Perimeter Institute for Theoretical Physics, Canada, to celebrate the career and work of a remarkable man of letters. Abner Shimony, who is well known for hispioneering contributions to f oundations of quantum mechanics, is a physicist as well as a philosopher, and is highly respected among the intellectuals of both communities. In line with Shimonys conviction that philosophicalinvestigation is not to be divorced from theoretical and empi rical work in the sciences, the conference brought together leading theoretical physicists, experimentalists, as well as philosophers. This book collects twenty-threeoriginal essays stemming from the conference, on topics including history and methodology of science, Bell's theorem, probability theory, the uncertainty principle, stochastic modifications of quantum mechanics, and relativity theory.It ends with a transcript of a fascinating discussion between Lee Smolin and Shimony, ranging over the entire spectrum of Shimony's wide-ranging contributions to philosophy, science, and philosophy of science
Note:Springer eBooks
Contents:Passion at a Distance
Philosophy, Methodology and History
Balancing Necessity and Fallibilism: Charles Sanders Peirce on the Status of Mathematics and its Intersection with the Inquiry into Nature
Newton's Methodology
Whitehead's Philosophy and Quantum Mechanics (QM)
Bohr and the Photon
Bell's Theorem and Nonlocality
Extending the Concept of an Element of Reality to Work with Inefficient Detectors
A General Proof of Nonlocality without Inequalities for Bipartite States
On the Separability of Physical Systems
Bell Inequalities: Many Questions, a Few Answers
ISBN:9781402091070
Series:e-books
Series:SpringerLink (Online service)
Series:The Western Ontario Series in Philosophy of Science, 1566-659X : v73
Series:Physics and Astronomy (Springer-11651)
Keywords: Science Philosophy , Quantum theory
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