Correspondence analysis : theory, practice and new strategies /

• Κύριοι συγγραφείς: Beh, Eric J. (Συγγραφέας), Lombardo, Rosaria (Συγγραφέας)
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons, 2014.
• Σειρά: Wiley series in probability and statistics.
• Θέματα: Correspondence analysis (Statistics); MATHEMATICS / Probability & Statistics / Multivariate Analysis.; Electronic books.

"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 ad...

Πίνακας περιεχομένων:

• 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
• 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
• 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
• 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
• 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