A course in categorical data analysis
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About This Book
"Although t-tests, linear regression, and analysis of variance are useful, valid methods for analysis of measurement data and categorical data require a different methodology and techniques typically not encountered in introductory statistics courses.
Developed from long experience in teaching categorical data analysis to a multidisciplinary mix of undergraduate and graduate students, A Course in Categorical Data Analysis presents the easiest, most direct ways of extracting real-life conclusions from contingency tables. Written from a Fisherian viewpoint, the author incorporates numerous examples and real data sets.
S-PLUS routines are available through the Internet, but readers do not need full knowledge of a statistical software package - a background in elementary statistics and basic algebra will suffice."--BOOK JACKET.
Developed from long experience in teaching categorical data analysis to a multidisciplinary mix of undergraduate and graduate students, A Course in Categorical Data Analysis presents the easiest, most direct ways of extracting real-life conclusions from contingency tables. Written from a Fisherian viewpoint, the author incorporates numerous examples and real data sets.
S-PLUS routines are available through the Internet, but readers do not need full knowledge of a statistical software package - a background in elementary statistics and basic algebra will suffice."--BOOK JACKET.
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