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**Contingency table analysis. Methods and implementation using R.**
*(English)*
Zbl 1291.62012

New York, NY: Birkhäuser/Springer (ISBN 978-0-8176-4810-7/hbk; 978-0-8176-4811-4/ebook). xvii, 304 p. (2014).

Publisher’s description: Combining theory and applications, this book presents models and methods for the analysis of two- and multi-dimensional contingency tables. The author uses a threefold approach: fundamental models and related inferences are presented, their interpretational aspects are highlighted, and their practical usefulness is demonstrated. Throughout, practical guidance for using R is provided along with a comprehensive R-functions web-appendix.

Contingency tables arise in diverse fields, including the life, pedagogic, social and political sciences. They also play a prominent role in market research and opinion surveys. The analysis of contingency tables can provide insight into essential structures, relevant quantities and their interactions, and thus leads to improved decision-making.

Special features include:

An excellent reference for graduate students, researchers, and practitioners in statistics as well as in the biosciences and social sciences, the book may also be used as a supplementary textbook for courses on categorical data analysis with emphasis on special models for ordinal data. Prerequisites include basic background knowledge of statistical inference.

Contingency tables arise in diverse fields, including the life, pedagogic, social and political sciences. They also play a prominent role in market research and opinion surveys. The analysis of contingency tables can provide insight into essential structures, relevant quantities and their interactions, and thus leads to improved decision-making.

Special features include:

- \(\bullet\)
- a motivating example for each topic
- \(\bullet\)
- applications and implementations in R for all models discussed
- \(\bullet\)
- emphasis on association and symmetry models
- \(\bullet\)
- extensive bibliography
- \(\bullet\)
- up-to-date supplementary material available on the author’s website

An excellent reference for graduate students, researchers, and practitioners in statistics as well as in the biosciences and social sciences, the book may also be used as a supplementary textbook for courses on categorical data analysis with emphasis on special models for ordinal data. Prerequisites include basic background knowledge of statistical inference.

### MSC:

62-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics |

62H17 | Contingency tables |

62P25 | Applications of statistics to social sciences |

62-04 | Software, source code, etc. for problems pertaining to statistics |

62F15 | Bayesian inference |