An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Alan Agresti

by Alan Agresti

A non-technical introductory featuring the most important techniques for analyzing categorical data such as classical inferences for two-and-three way contingency tables, logistic regression, log linear models and matched-pairs data. Contains more than 200 exercises and more than 100 examples of authentic data sets. An appendix describes the use of computer packages to perform analyses in the text.

Genres: Mathematics, Textbooks

Hardcover

First published January 1, 1996

Reviews

[Nur · Rating 4 out of 5]

To any Epidemiology PhD student. Very easy wording, applied non-technical style.

[Brendan · Rating 3 out of 5]

Perfectly fine. Like many of these textbooks, it is plagued by toy problems which don’t give you an understanding of how to use the ideas. Projects with messy datasets in the back and open ended responses would be ideal, but I suppose that is why we have Kaggle.

[Abrar · Rating 4 out of 5]

This book is suitable for those who are interesting to analyse categorical data.
it's very useful and easy to understand.