Overview
- 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
Part of the book series: Statistics for Industry and Technology (SIT)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Contingency Table Analysis
Book Subtitle: Methods and Implementation Using R
Authors: Maria Kateri
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-0-8176-4811-4
Publisher: Birkhäuser New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014 2014
Hardcover ISBN: 978-0-8176-4810-7Published: 15 June 2014
Softcover ISBN: 978-1-4939-3959-6Published: 17 September 2016
eBook ISBN: 978-0-8176-4811-4Published: 17 May 2014
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: XVII, 304
Number of Illustrations: 13 b/w illustrations, 8 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Social Sciences, Humanities, Law, Statistics for Life Sciences, Medicine, Health Sciences, Statistics and Computing/Statistics Programs, Applications of Mathematics