This volume provides readers with a simple and nontechnical introduction to correspondence analysis (CA), a technique for summarily describing the relationships among categorical variables in large tables. It begins with the history and logic of CA. The author shows readers the steps to the analysis: category profiles and masses are computed, the distances between these points calculated and the best-fitting space of n-dimensions located. There are glossaries on appropriate programs from SAS and SPSS for doing CA and the book concludes with a comparison of CA and log-linear models.
發表於2024-11-12
Applied Correspondence Analysis 2024 pdf epub mobi 電子書 下載
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Applied Correspondence Analysis 2024 pdf epub mobi 電子書 下載