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SPIRES-BOOKS: FIND KEYWORD MARKET SEGMENTATION *END*INIT* use /tmp/qspiwww.webspi1/28714.98 QRY 131.225.70.96 . find keyword market segmentation ( in books using www Cover
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Call number:1118432673:ONLINE Show nearby items on shelf
Title:Market Segmentation - How to do it and How to Profit from it, revised 4e
Author(s): McDonald
Date:2012
Size:1 online resource (513 p.)
ISBN:9781118432679
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Business & Management
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Call number:SPRINGER-2014-9784431549741:ONLINE Show nearby items on shelf
Title:Applied Data-Centric Social Sciences [electronic resource] : Concepts, Data, Computation, and Theory
Author(s): Aki-Hiro Sato
Date:2014
Publisher:Tokyo : Springer Japan : Imprint: Springer
Size:1 online resource
Note:Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data onhuman activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book isconstructed from data-oriented investigation, wit h mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physicalconcepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that maychange peoples minds and cause them to start thinking from the basis of data. Several goals underli e the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end theauthor delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and da ta-generating mechanisms, as data are always provided by some kind of data-generating process in the real world.The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems
Contents:Introduction
Introduction
Framework
Methodology
Mathematical expressions
Data in computers
Exemplar studies
Risk assessment of extreme events
Segmentation study of foreign exchange market
Hotel booking data
Tendency of international air travels
Energy consumption
Future work
Future research in applied data
centric social sciences
ISBN:9784431549741
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics
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Call number:SPRINGER-2013-9781461473817:ONLINE Show nearby items on shelf
Title:Business Statistics for Competitive Advantage with Excel 2013 [electronic resource] : Basics, Model Building, Simulation and Cases
Author(s): Cynthia Fraser
Date:2013
Edition:3rd 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:Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics toprovide information on perf ormance response under alternative scenarios. This updated edition ofthe populartext helps business students develop competitive advantages for use in their future careers as decision makers. Studentslearn to build models using logic and experience, produ ce statistics using Excel 2013 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain Englishand with compelling graphics in the form of memos and PowerPoints. Statisti cs, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number ofexamples focus on business in emerging global markets with particular emphasis on emerging market s in Latin America, China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate howalternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2013 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses,are introduced from the start. The Third Edition features Monte Carlo simulation in three chapters, as a tool to illustrate the range of poss ible outcomes from decision makers assumptions and underlying uncertainties. Model buildingwith regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autoc orrelation and remedies, indicator variables to represent segmentdifferences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation a
Note:Springer eBooks
Contents:Statistics for Decision Making and Competitive Advantage
Describing Your Data Chapter
Hypothesis Tests, Confidence Intervals, and Simulation to Infer Population Characteristics and Differences
Quantifying the Influence of Performance Drivers and Forecasting: Regression
Market Simulation and Segmentation with Descriptive Statistics, Inference, Hypothesis Tests, and Regression
Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
Association between Two Categorical Variables: Contingency Analysis with Chi Square
Buildi
ISBN:9781461473817
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics , Economics
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Call number:SPRINGER-2012-9781441998576:ONLINE Show nearby items on shelf
Title:Business Statistics for Competitive Advantage with Excel 2010 [electronic resource] : Basics, Model Building, and Cases
Author(s): Cynthia Fraser
Date:2012
Edition:2nd ed. 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:Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics toprovide information on perf ormance response under alternative scenarios. This updated edition ofthe populartext helps business students develop competitive advantages for use in their future careers as decision makers. Studentslearn to build models using logic and experience, produ ce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain Englishand with compelling graphics in the form of memos and PowerPoints. Statisti cs, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number ofexamples focus on business in emerging global markets with particular emphasis on China and India . Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared.Chapters include screenshots to make it easy to conduct analyses in Excel 2010 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. MonteCarlo simulation is introduced early, as a tool to illustrate the range of possible outcomes from decision makers assumptions and underlyin g uncertainties. Model building with regression is presented as a process, adding levels ofsophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent se gment differences, and seasonality, structural shifts or shocks in timeseries models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conj
Note:Springer eBooks
Contents:Statistics for Decision Making and Competitive Advantage
Describing Your Data
Hypothesis Tests, Confidence Intervals and Simulation to Infer Population Characteristics and Differences
Quantifying the Influence of Performance Drivers and Forecasting: Regression
Marketing Sgementation with Descriptive Statistics, Inference, Hypothesis Tests and Regression
Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
Association between Two Categorical Variables: Contingency Analysis with Chi Square
Building Multiple Regression
ISBN:9781441998576
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2009-9780387744032:ONLINE Show nearby items on shelf
Title:Business Statistics for Competitive Advantage with Excel 2007 [electronic resource] : Basics, Model Building, and Cases
Author(s): Cynthia Fraser
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2007 with shortcuts,and translate results i nto implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics tosophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China andIndia. Results are linked to implications for decision making with sensitiv ity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2007 withtime-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in bu sinesses, are introduced from the start. Monte Carlo simulation is introduced early, as a tool to illustrate the range of possibleoutcomes from decision makers assumptions and underlying uncertainties. Model building with regression is presented as a proc ess, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting andmodel validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in tim e series models. Special applications in market segmentation and portfolioanalysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response, and a chapt er on logit regression models introduces models ofmarket share or proportions. Cynthia Fraser received her Ph.D. from The Wharton School, University of Pennsylvania, and is a member of the Marketing
Note:Springer eBooks
ISBN:9780387744032
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematics , Finance , Economics Statistics , Econometrics , Marketing
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Call number:SPRINGER-2008-9783540752615:ONLINE Show nearby items on shelf
Title:Managing Complexity: Insights, Concepts, Applications [electronic resource]
Author(s): D Helbing
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinarycontributions range from markets and production through logistics, traffic control, and critical infrastructures, up to network design, information systems, social conflicts and building consensus. They serve to raise readers'awareness concerning the often counter-intuitive behavior of c omplex systems and to help them integrate insights gained in complexity research into everyday planning, decision making, strategic optimization, and policy. Intended for abroad readership, the contributions have been kept largely non-technical and addres s a general, scientifically literate audience involved in corporate, academic, and public institutions
Note:Springer eBooks
Contents:Managing Complexity: An Introduction
Managing Complexity: An Introduction
Markets and Business
Market Segmentation: The Network Approach
Managing Autonomy and Control in Economic Systems
Complexity and the Enterprise: The Illusion of Control
Logistics and Production
Benefits and Drawbacks of Simple Models for Complex Production Systems
Logistics Networks: Coping with Nonlinearity and Complexity
Repeated Auction Games and Learning Dynamics in Electronic Logistics Marketplaces: Complexity, Bounded Rationality, and Regulation through Information
Traffic
Decentrali
ISBN:9783540752615
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Economics , Systems theory , Engineering , Technology , Management information systems
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Call number:SPRINGER-2000-9783642582509:ONLINE Show nearby items on shelf
Title:Data Analysis Scientific Modeling and Practical Application
Author(s):
Date:2000
Size:1 online resource (528 p.)
Note:10.1007/978-3-642-58250-9
Contents:I. Classification -- Clustering Relational Data -- An Iterative Relocation Algorithm for Classifying Symbolic Data -- Automatic Classification with Classifying Automata -- Classification and Clustering of Objects With Variants --
Non-Hierarchical Classification Structures -- Clustering and Classification Based on Expert Knowledge Propagation Using a Probabilistic Self-Organizing Map -- II. Data Analysis -- Unobserved Heterogeneity in Mean- and Covariance
Structure Models -- Average Consensus in Numerical Taxonomy and Some Generalizations -- Exploring Multivariate Modality by Unsupervised Mixture of Cubic B-Splines in 1-D Using Model Selection Criteria -- On a Framework for
Dissimilarity Analysis -- Least-Squares Ultrametric Tree Representations of Three-Way One-Mode Proximity Data -- From Data Mining to Knowledge Mining: An Introduction to Symbolic Data Analysis -- Evidence for a Relationship Between
Algorithmic Scheme and Shape of Inferred Trees -- Testing for Antimodes -- A Classification of Bivariate Negative Binomial Distributions -- Robust Forecasting of Parametric Trend of Time Series under “Outliers” -- Projections
Distinguishing Isolated Groups in Multivariate Data Spaces -- Non-Symmetrical Data Analysis Approaches: Recent Developments and Perspectives -- Contiguity Analysis and Classification -- New Results in Cutting Seriation for Approximate
#SAT -- Applied Bayesian Data Analysis Using State-Space Models -- Intelligent Data Modeling Based on the Wavelet Transform and Data Entropy -- A Characterization of Ordinal Data -- Generalized Impulse Response Functions for
VAR-GARCH-M Models -- A New Geometrical Hypothesis for Partitioning and Discriminant Analysis -- Ultrametrics and p-adic Numbers -- An Algorithm for Positive-Breakdown Regression Based on Concentration Steps -- Unidimensional Structure
Detected by Analysis of an Asymmetric Data Matrix -- A Geometrical Relational Model for Data Analysis -- Towards a Statistical Theory of Optimal Quantization -- Robust Clustering -- III. Applications -- Bump Hunting for Risk: A New
Data Mining Tool -- Clusters of Bibliographic References: A Brief Case Study -- Online Classification of States in Intensive Care -- Frequent Generalized Subsequences — A Problem From Web Mining -- myVU: A Next Generation Recommender
System Based on Observed Consumer Behavior and Interactive Evolutionary Algorithms -- Global Optimization Methods for Multidimensional Scaling Applied to Mobile Communication -- Synergy in Drug Combinations -- Maximum Likelihood
Clustering for Elasticity-Based Market Segmentation -- Statistics and Data Analysis in Market Risk Measurement -- An Asymmetric Cluster Analysis Study of Car Switching Data -- Visualization of Multivariate Data by Scaling and Property
Fitting -- Facts and Problems in the Lung Cancer Medical Cost Analysis Through Claims Data -- Selected Publications of Hans-Hermann Bock
ISBN:9783642582509
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Data structures (Computer science) , Statistics , Economic theory , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Data Structures, Cryptology and Information Theory , Statistical Theory and Methods
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Call number:SPRINGER-1999-9783642601873:ONLINE Show nearby items on shelf
Title:Classification in the Information Age Proceedings of the 22nd Annual GfKl Conference, Dresden, March 4–6, 1998
Author(s):
Date:1999
Size:1 online resource (608 p.)
Note:10.1007/978-3-642-60187-3
Contents:Plenary and Semi Plenary Presentations -- Classification and Information -- Scientific Information Systems and Metadata -- Multiple Expert Fusion -- How To Make a Multimedia Textbook and How to Use It -- Clustering and Neural Network
Approaches -- Data Model and Classification by Trees -- A Framework for the Design, Development and Evaluation of Multimedia Based Learning Environments: ”ISTOS: An Application in the Computer Networking Domain” -- Natural and
Constrained Classification of Data by Fuzzy Clustering Techniques -- Finance and Risk -- From Variance to Value at Risk: A Unified Perspective on Standardized Risk Measures -- Does the Planning Horizon Affect the Portfolio Structure?
-- Statistical Approach in Financial Risk Analysis and Management — Review of Concepts -- Classification and Related Aspects of Data Analysis and Learning -- Classification, Data Analysis, and Statistics -- On Data-Based Checking of
Hypotheses in the Presence of Uncertain Knowledge -- Multivariate Directional Tests with Incomplete Data -- Classification and Positioning of Data Mining Tools -- Hazard Rate Estimation from Censored Data -- A Sequential Modification
of EM Algorithm -- Analysis of the Stability of Clusters of Variables via Bootstrap -- Models and Methods for Clusterwise Linear Regression -- Statistical Clustering Under Distortions: Optimality and Robustness -- Discrete Scan
Statistics for Detecting Change-points in Binomial Sequences -- Dynamic Confinement, Classification, and Imaging -- Approximation of Distributions by Sets -- Computation of the Minimum Covariance Determinant Estimator -- Graphical
Tools for the Detection of Multiple Outliers in Spatial Statistics Models -- Classification for Repeated Measurements in Gaussian and Related Populations -- Optimal vs. Classical Linear Dimension Reduction -- Testing for the Number of
States in Hidden Markov Models with Application to Ion Channel Data -- ClustanGraphics3: Interactive Graphics for Cluster Analysis -- Conceptual Analysis and Learning -- Conceptual Meaning of Clusters -- Group Theoretical Structures
for Representing Data Contexts -- The Comparative Efficacy of Some Combinatorial Tests for Detection of Clusters and Mixtures of Probability Distributions -- Efficient State-Space Representation by Neural Maps for Reinforcement
Learning -- Match-Gaphs of Random Digraphs -- An Improved Training Method for Feed-Forward Neural Networks -- Decision Support By Order Diagrams -- Neural Network Classification in Exponential Models with Unknown Statistics --
Conceptual Landscapes of Knowledge: A Pragmatic Paradigm for Knowledge Processing -- Usage of New Media and the Internet -- Information Systems, Multimedia, and WWW -- Remote Data Analysis Using Java -- Metrics for World Wide Web
Information Systems -- Modeling Concepts for Flexible Workflow Support -- Navigation and Classification on the Internet and Virtual Universities -- Visualization and Categorization of Cached Hypermedia Data -- Virtualization of Course
Structures Through Adaptive Internet Techniques -- Navigation in Cyberspace Using Multi-Dimensional Scaling to Create Three-dimensional Navigational Maps -- Structured Documentation. An Approach to Identify and Model Knowledge
Components for Learning Purposes -- Applications in Economics -- Finance, Capital, and Risk Management -- Measurement of the Probability of Insolvency with Mixture-of-Experts Networks -- An Application of Methods of Multivariate Data
Analysis to Compare Different Approaches to Exchange Rate Forecasting -- Intelligent Software Agents: Current Technology and Potential Impact on Electronic Markets and Intermediaries -- Clustering of Stocks in Risk Context -- Measuring
Risk in Value-at-Risk Based on Student’s t-Distribution -- Using ANN to Estimate VaR -- Forecasting Discretized Daily USD/DEM Exchange Rate Movements with Quantitative Models -- Study Major Choice — Factor Preference Measurement --
What is “Incentive Compatibility”? -- Marketing and Market Research -- An Integrative Approach for Product Development and Customer Satisfaction Measurement -- Market Segmentation and Profiling Using Artificial Neural Networks -- A
Classification Approach for Competitive Pricing -- Panel-Data Based Competitive Market Structure and Segmentation Analysis Using Self-Organizing Feature Maps -- Analysis of A Priori Defined Groups in Applied Market Research -- Modeling
and Measuring of Competitive Reactions to Changes of Marketing Mix at the Retail Level -- Applications in Archeology, Bioinformatics, Environment, and Health -- Bayesian Statistics for Archaeology -- Investigating Information Retrieval
with the Environmental Thesaurus of the Umweltbundesamt -- Data Mining with a Neuro-Fuzzy Model for the Ozone Prognosis -- Attributing Shares of Risk to Grouped or Hierarchically Ordered Factors -- New Hypotheses and Tests for the
Multivariate Bioequivalence Problem -- Diagnostic Support in Allergology Using Interactive Learning Classifier Systems -- On Nonparametric Repeated Measures Analysis of Variance
ISBN:9783642601873
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Business mathematics , Data structures (Computer science) , Computers , Statistics , Economic theory , Econometrics , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Econometrics , Business Mathematics , Statistics for Business/Economics/Mathematical Finance/Insurance , Data Structures , Information Systems and Communication Service
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Call number:HF5415.153.K53::2015 Show nearby items on shelf
Title:Blue ocean strategy : how to create uncontested market space and make the competition irrelevant
Author(s): W. Chan Kim
Date:2015
Edition:Expanded edition.
Publisher:Boston, Massachusetts : Harvard Business Review Press
Size:287 p
Contents:Creating blue oceans -- Analytical tools and frameworks -- Reconstruct market boundaries -- Focus on the big picture, not the numbers -- Reach beyond existing demand -- Get the strategic sequence right -- Overcome key organizational hurdles -- Build execution into strategy -- Align value, profit and people propositions -- Renew blue oceans -- Avoid red ocean traps
ISBN:9781625274496
Keywords: Business & Economics , Market segmentation , New products
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Call number:HF5415.153.K52::2017 Show nearby items on shelf
Title:Blue ocean shift : beyond competing : proven steps to inspire confidence and seize new growth
Author(s): W. Chan Kim
Date:2017
Edition:First edition.
Publisher:New York : Hachette Books
Size:322 p
Contents:Reach beyond the best -- The fundamentals of market-creating strategy -- The mind of a blue ocean strategist -- Humanness, confidence and creative competence -- Choosing the right place to start -- Constructing the right blue ocean team -- Getting clear about the current state of play -- Uncovering the hidden papin points that limit the size of your industry -- Discovering an ocean of noncustomers -- Reconstructing market boundaries-systematically -- Developing alternative blue ocean opportunities -- Selecting your blue ocean move and conducting rapid market tests -- Finalizing and launching your blue ocean move -- A national blue ocean shift in action.
ISBN:9780316314046
Keywords: Business & Economics , Market segmentation , New products
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