Correspondence analysis in practice
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, li…
Read More ↓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.
Read More ↓Edition Statements
- Publication Date:©2017
- Edition:Third edition
Publication Statements
- Publisher(s):CRC Press, Taylor & Francis Group
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:©2017
The Physical Object
- Description:1 online resource (xvi, 310 pages)
Edition Identifiers
- ISBN:9781498731782, 1498731783
- oclc:ocn970041540
- LC Classification:QA278.5
- Dewey Decimal:519.5/37
Table of Contents
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 displays -- 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 -- Compositional data analysis -- Analysis of matched 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.
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