Contingency Table Analysis

Methods and Implementation Using R

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Science & Nature, Mathematics
Cover of the book Contingency Table Analysis by Maria Kateri, Springer New York
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Author: Maria Kateri ISBN: 9780817648114
Publisher: Springer New York Publication: May 17, 2014
Imprint: Birkhäuser Language: English
Author: Maria Kateri
ISBN: 9780817648114
Publisher: Springer New York
Publication: May 17, 2014
Imprint: Birkhäuser
Language: English

Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision making. Combining both theory and applications, this book presents models and methods for the analysis of two- and multidimensional-contingency tables.

An excellent reference for advanced undergraduates, graduate students, and practitioners in statistics as well as biosciences, social sciences, education, and economics, the work may also be used as a textbook for a course on categorical data analysis. Prerequisites include basic background on statistical inference and knowledge of statistical software packages.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision making. Combining both theory and applications, this book presents models and methods for the analysis of two- and multidimensional-contingency tables.

An excellent reference for advanced undergraduates, graduate students, and practitioners in statistics as well as biosciences, social sciences, education, and economics, the work may also be used as a textbook for a course on categorical data analysis. Prerequisites include basic background on statistical inference and knowledge of statistical software packages.

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