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An Introduction to Categorical Data Analysis by Alan Agresti is a mathematics available to read on EtoBox.

What is An Introduction to Categorical Data Analysis about?

<p><b>A valuable new edition of a standard reference</b></p> <p>The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. <i>An Introduction to Categorical Data Analysis, Third Edition</i> summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.</p> <p>Adding to the value in the new edition is:</p> <p>• Illustrations of the use of R software to perform all the analyses in the book</p> <p>• A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis</p> <p>• New sections in many chapters introducing the Bayesian approach for the methods of that chapter</p> <p>• More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets</p> <p>• An appendix showing how to

Who reads An Introduction to Categorical Data Analysis?

Author

Alan Agresti

Publisher

John Wiley & Sons, Incorporated

Published

2018

Language

EN

ISBN

9781119405269

Category

mathematics

Subjects

Mathematics, Probability, Stem

Rating

4.4 / 5 (56 ratings)

Updated

2026-03-14