Contingency Table Analysis, Softcover reprint of the original 1st ed. 2014
Methods and Implementation Using R

Statistics for Industry and Technology Series

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Language: English

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Contingency Table Analysis
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Contingency Table Analysis
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304 p. · 15.5x23.5 cm · Hardback

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. The author uses a threefold approach, presenting fundamental models and related inference, highlighting their interpretational aspects, and demonstrating their practical usefulness.  Emphasis is on applications and methods of fitting models using standard statistical tools - such as SPSS, R, and BUGS - and on interpretation of the results.

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.

Preface.- Introduction.- Analysis of Two-Way Tables.- Analysis of Multi-Way Tables.- Log-Linear Models.- Generalized Linear Models and Extensions.- Association Models.- More on Association Models and Related Methods.- Response Variable Analysis in Contingency Tables.- Analysis of Square Tables.- Further Topics.
Presents a variety of new sophisticated models for the analysis of two- and multidimensional-contingency tables Real-world applications to life sciences, education, social and political sciences, notably market research, and opinion surveys Emphasis is on applications and methods of fitting models using standard statistical packages, such as SPSS, S-PLUS, R, and BUGS, as well as on interpretation of the results Up-to-date supplementary material is available on the author's website For a broad audience of advanced undergraduates, graduate students, and practitioners in statistics, biosciences, social sciences, education, and economics May be used as a textbook for a course on categorical data analysis Includes supplementary material: sn.pub/extras