Correspondence Analysis in Practice

3rd Auflage
ISBN: 978-0-367-78251-1
Verlag: CRC Press

Buch, Englisch, 326 Seiten, Format (B × H): 178 mm x 229 mm, Gewicht: 566 g

Reihe: Chapman & Hall/CRC Interdisciplinary Statistics

Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more.

Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.

Zielgruppe

Professional

Autoren/Hrsg.

Greenacre, Michael

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

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 Matches Matrices

Analysis of Square Tables

Correspondence Analysis of Networks

Data Recoding

Canonical Correspondence Analysis

Co-Inertia and Co-Correspondence Analysis

Aspects of Stability and Inference

Permutation Tests

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

Über Autor(innen)

Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.