Correspondence analysis in practice
著者
書誌事項
Correspondence analysis in practice
（Interdisciplinary statistics）
Chapman & Hall/CRC, c2007
2nd ed
- : hbk
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注記
Previous ed.: London: Academic, 1993
Includes bibliographical references (p. 259-262) and index
内容説明・目次
内容説明
Drawing on the author's experience in social and environmental research, Correspondence Analysis in Practice, Second Edition shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. This completely revised, up-to-date edition features a didactic approach with self-contained chapters, extensive marginal notes, informative figure and table captions, and end-of-chapter summaries. New to the Second Edition
* Five new chapters on transition and regression relationships, stacked tables, subset correspondence analysis, analysis of square tables, and canonical correspondence analysis
* Substantially more figures and tables than the first edition
* A computational appendix that provides the R commands that correspond to most of the analyses featured throughout the book, making it easy for readers to reproduce the analyses
With 33 years of CA experience, the expert author demonstrates how to use uncomplicated, relatively nonmathematical techniques to translate complex tabular data into more readable graphical forms. CA and its variants multiple CA (MCA) and joint CA (JCA) are suitable for analyses in various fields, including marketing research, the social and environmental sciences, biochemistry, and more.
目次
Preface Scatterplots and Maps
Profiles and the Profile Space
Masses and Centroids
Chi-Square Distance and Inertia
Plotting Chi-Square Distances
Reduction of Dimensionality
Optimal Scaling
Symmetry of Row and Column Analyses
Two-Dimensional Maps
Three More Examples
Contributions to Inertia
Supplementary Points
Correspondence Analysis Biplots
Transition and Regression Relationships
Clustering Rows and Columns
Multiway Tables
Stacked Tables
Multiple Correspondence Analysis
Joint Correspondence Analysis
Scaling Properties of MCA
Subset Correspondence Analysis
Analysis of Square Tables
Data Recoding
Canonical Correspondence Analysis
Aspects of Stability and Inference
Appendix A: Theory of Correspondence Analysis
Appendix B: Computation of Correspondence Analysis
Appendix C: Bibliography of Correspondence Analysis
Appendix D: Glossary of Terms
Appendix E: Epilogue
Index
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