Correspondence analysis in practice

Correspondence analysis in practice

by Greenacre, Michael J.

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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, lin…

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Title Statements

  • Full title :Correspondence analysis in practice / Michael Greenacre.

Summary

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.

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Edition Statements

  • Publication Date:2016.
  • Edition:Third edition

Publication Statements

  • Publisher(s):Chapman & Hall/CRC
  • Place of Publication:Boca Raton
  • Language:eng
  • Publication Date:2016.

Notes

Previous edition: 2007.

<P><strong>Preface</strong></p> <p><strong>Scatterplots and Maps</strong></p> <p><strong>Profiles and the Profile Space</strong></p> <p><strong>Masses and Centroids</strong></p> <p><strong>Chi-Square Distance and Inertia</strong></p> <p><strong>Plotting Chi-Square Distances</strong></p> <p><strong>Reduction of Dimensionality</strong></p> <p><strong>Optimal Scaling</strong></p> <p><strong>Symmetry of Row and Column Analyses</strong></p> <p><strong>Two-Dimensional Maps</strong></p> <p><strong>Three More Examples</strong></p> <p><strong>Contributions to Inertia</strong></p> <p><strong>Supplementary Points</strong></p> <p><strong>Correspondence Analysis Biplots</strong></p> <p><strong>Transition and Regression Relationships</strong></p> <p><strong>Clustering Rows and Columns</strong></p> <p><strong>Multiway Tables</strong></p> <p><strong>Stacked Tables</strong></p> <p><strong>Multiple Correspondence Analysis</strong></p> <p><strong>Joint Correspondence Analysis</strong></p> <p><strong>Scaling Properties of MCA</strong></p> <p><strong>Subset Correspondence Analysis</strong></p> <p><strong>Analysis of Matches Matrices</strong></p> <p><strong>Analysis of Square Tables</strong></p> <p><strong>Correspondence Analysis of Networks</strong></p> <p><strong>Data Recoding</strong></p> <p><strong>Canonical Correspondence Analysis</strong></p> <p><strong>Co-Inertia and Co-Correspondence Analysis</strong></p> <p><strong>Aspects of Stability and Inference</strong></p> <p><strong>Permutation Tests</strong></p> <p><strong>Appendix A: Theory of Correspondence Analysis</strong></p> <p><strong>Appendix B: Computation of Correspondence Analysis</strong></p> <p><strong>Appendix C: Bibliography of Correspondence Analysis</strong></p> <p><strong>Appendix D: Glossary of Terms</strong></p> <p><strong>Appendix E: Epilogue</strong></p> <p><strong>Index</strong></p>

The Physical Object

  • Description:1 online resource (310 pages) : : illustrations (black and white)

Edition Identifiers

  • ISBN:9781498731782, 1498731783, 9781498731775, 1498731775, 9781498731782
  • oclc:on1076617725
  • LC Classification:QA278.5
  • Dewey Decimal:519.535

Subjects

Analyse des correspondances (Statistiqu… Correspondence analysis (Statistics)

Writers

Greenacre, Michael J.

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