Categorical Data Analysis (Wiley Series in Probability and Statistics) by Agresti, Alan 3rd (third) (2012) Hardcover

by Alan Agresti

Summarizes methods used for the analysis of categorical data, including many recently developed techniques. The emphasis is on loglinear and logit modeling techniques, which share many features with linear model methods for continuous variables. Incorporated into the exposition is interesting historical information (and controversies) on the development of categorical data analysis. Chapters 1-7 cover bivariate categorical data and loglinear and logit model building; chapters 8-11 discuss applications and methods; chapters 12 and 13 address theoretical foundations.

Genres: Mathematics, Science, Academic

Unknown Binding

First published January 1, 1990

Reviews

[Oleksandr Nikitin · Rating 3 out of 5]

accidentally read a book :) chapter structure could be better, but if you have some experience structuring heaps of articles yourself - it would provide a nice overview of the field.

[Terran M · Rating 3 out of 5]

Comprehensive reference for methods in categorical data analysis. I found it was not a fun book to actually read large parts of; it felt like rapid-fire lists of techniques, with neither derivation nor narrative. Overall, I preferred reading Bilder and Loughlin, which covers less material but does a better job of what it covers.

[Goo · Rating 2 out of 5]

Textbook used for a course.

Okay as a collection of results, but not a great book to learn from.

[Jim Sullivan]

Very helpful; however, the reader will need a background in nonparametric statistics before pursuing this work or you may not get too much out of it.