A course in categorical data analysis
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Author
Contributions
- Papasouliotis, Orestis - Contributor
Publication
2000 - Chapman & Hall/CRC Press, Boca Raton, Fla, Florida
Language
English
Word Count
45,750 words, Guess
Page Count
183 pages
Identifiers
- Open LibraryOL15304196M
- ISBN-100849303230
- OCLC Control Number42437113
- OCLC Control Numbercoursecategorica00leon
- Library of Congress Control Number99047135
and 1 more
- LibraryThing1848279
Classifications
- LCCQA278 .L465 2000
Description
"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.
Subjects
Series Statement
- Texts in statistical science
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