An Introduction To Categorical Data Analysis Av Alan (University Of Florida Gainesville) Agresti

<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