Agrestiによるカテゴリカルデータ解析の全てが詰まった著名テキストの入門編として、半分の分量で必須の手法をマスターしつつ、新たな平滑化正規化手法や分類手法を盛り込む。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. New sections in many chapters introducing the Bayesian approach for the methods of that chapter. More than 70 analyses of data sets to illustrate application of the methods, and about 200 excercises, many containing other data sets.