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06555nam a2200781 4500 |
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ocn879662468 |
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OCoLC |
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20170124070138.9 |
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140513s2014 enk ob 001 0 eng |
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|a 2014018918
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|a DLC
|b eng
|e rda
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|d OCLCF
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|a 904284889
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|a 9781118762905 (ePub)
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|a 1118762908 (ePub)
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|a 9781118762899 (Adobe PDF)
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|a 1118762894 (Adobe PDF)
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|z 9781119953241 (hardback)
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|a 9781118762875
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|a (OCoLC)879662468
|z (OCoLC)904284889
|z (OCoLC)930714593
|z (OCoLC)961630740
|z (OCoLC)962629693
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|a CL0500000564
|b Safari Books Online
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|a 519.5/37
|2 23
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|a MAT029020
|2 bisacsh
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|a MAIN
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|a Beh, Eric J.,
|e author.
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|a Correspondence analysis :
|b theory, practice and new strategies /
|c Eric Beh, Rosaria Lombardo.
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|a Chichester, West Sussex ;
|a Hoboken, NJ :
|b John Wiley & Sons,
|c 2014.
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|a 1 online resource.
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|a text
|2 rdacontent
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|a computer
|2 rdamedia
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|a online resource
|2 rdacarrier
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|a Wiley series in probability and statistics
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|a "A review of the conventional approaches to correspondence analysis as well as new advances that have been made over the last decade, Correspondence Analysis: Theory, Practice and New Strategies discusses the theoretical and practical issues surrounding correspondence analysis. Examining key adaptations for which correspondence analysis can be used, the text provides students and researchers with a comprehensive link between association measures, graphical depiction of association, ordered categorical variables, and ecological inference issues. The authors present a comprehensive theoretical description of non-symmetrical correspondence analysis"--
|c Provided by publisher.
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520 |
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|a "Provides a comprehensive link between association measures, graphical depiction of association, ordered categorical variables and ecological inference issues"--
|c Provided by publisher.
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|a Includes bibliographical references and index.
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|a Description based on print version record and CIP data provided by publisher.
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|a Wiley Series in Probability and Statistics; Title Page; Copyright; Dedication; Foreword; Preface; Part One: Introduction; Chapter 1: Data Visualisation; 1.1 A Very Brief Introduction to Data Visualisation; 1.2 Data Visualisation for Contingency Tables; 1.3 Other Plots; 1.4 Studying Exposure to Asbestos; 1.5 Happiness Data; 1.6 Correspondence Analysis Now; 1.7 Overview of the Book; 1.8 R Code; References; Chapter 2: Pearson's Chi-Squared Statistic; 2.1 Introduction; 2.2 Pearson's Chi-Squared Statistic; 2.3 The Goodman -- Kruskal Tau Index; 2.4 The 2 × 2 Contingency Table
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|a 2.5 Early Contingency Tables2.6 R Code; References; Part Two: Correspondence Analysis of Two-Way Contingency Tables; Chapter 3: Methods of Decomposition; 3.1 Introduction; 3.2 Reducing Multidimensional Space; 3.3 Profiles and Cloud of Points; 3.4 Property of Distributional Equivalence; 3.5 The Triplet and Classical Reciprocal Averaging; 3.6 Solving the Triplet Using Eigen-Decomposition; 3.7 Solving the Triplet Using Singular Value Decomposition; 3.8 The Generalised Triplet and Reciprocal Averaging; 3.9 Solving the Generalised Triplet Using Gram-Schmidt Process
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|a 3.10 Bivariate Moment Decomposition3.11 Hybrid Decomposition; 3.12 R Code; 3.13 A Preliminary Graphical Summary; 3.14 Analysis of Analgesic Drugs; References; Chapter 4: Simple Correspondence Analysis; 4.1 Introduction; 4.2 Notation; 4.3 Measuring Departures from Complete Independence; 4.4 Decomposing the Pearson Ratio; 4.5 Coordinate Systems; 4.6 Distances; 4.7 Transition Formulae; 4.8 Moments of the Principal Coordinates; 4.9 How Many Dimensions to Use?; 4.10 R Code; 4.11 Other Theoretical Issues; 4.12 Some Applications of Correspondence Analysis
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|a 4.13 Analysis of a Mother's Attachment to Her ChildReferences; Chapter 5: Non-Symmetrical Correspondence Analysis; 5.1 Introduction; 5.2 The Goodman-Kruskal Tau Index; 5.3 Non-Symmetrical Correspondence Analysis; 5.4 The Coordinate Systems; 5.5 Transition Formulae; 5.6 Moments of the Principal Coordinates; 5.7 The Distances; 5.8 Comparison with Simple Correspondence Analysis; 5.9 R Code; 5.10 Analysis of a Mother's Attachment to Her Child; References; Chapter 6: Ordered Correspondence Analysis; 6.1 Introduction; 6.2 Pearson's Ratio and Bivariate Moment Decomposition; 6.3 Coordinate Systems
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|a 6.4 Artificial Data Revisited6.5 Transition Formulae; 6.6 Distance Measures; 6.7 Singly Ordered Analysis; 6.8 R Code; References; Chapter 7: Ordered Non-Symmetrical Correspondence Analysis; 7.1 Introduction; 7.2 General Considerations; 7.3 Doubly Ordered Non-Symmetrical Correspondence Analysis; 7.4 Singly Ordered Non-Symmetrical Correspondence Analysis; 7.5 Coordinate Systems for Ordered Non-Symmetrical Correspondence Analysis; 7.6 Tests of Asymmetric Association; 7.7 Distances in Ordered Non-Symmetrical Correspondence Analysis
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650 |
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|a Correspondence analysis (Statistics)
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650 |
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|a MATHEMATICS / Probability & Statistics / Multivariate Analysis.
|2 bisacsh
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650 |
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|a Correspondence analysis (Statistics)
|2 fast
|0 (OCoLC)fst00880319
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650 |
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|a MATHEMATICS / Probability & Statistics / Multivariate Analysis.
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655 |
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|a Electronic books.
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655 |
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|a Electronic books.
|2 local
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|a Electronic books.
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700 |
1 |
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|a Lombardo, Rosaria,
|e author.
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776 |
0 |
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|i Print version:
|a Beh, Eric J., author.
|t Correspondence analysis
|d Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons Inc., 2014
|z 9781119953241
|w (DLC) 2014017301
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830 |
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0 |
|a Wiley series in probability and statistics.
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856 |
4 |
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|u https://doi.org/10.1002/9781118762875
|z Full Text via HEAL-Link
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994 |
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|a 92
|b DG1
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