An Introduction to Categorical Data Analysis (3rd Edition)

A valuable new edition of a standard reference\nThe use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences.\nAn Introduction to Categorical Data Analysis, 3rd Edition\n\nsummarizes these methods and shows readers how to use them using software. College students will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.\nAdding to the value in the new\n3rd edition\nis:\n? New sections in many chapters introducing the Bayesian approach for the methods of that chapter\n? An appendix showing how to use Stata, SAS, and SPSS, and an appendix with short solutions to most odd-numbered exercises\n? More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets\n? 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\nAn Introduction to Categorical Data Analysis 3e\nillustrates the methods using a wide variety of real data, including environmental questions, drug use by teenagers, medical clinical trials, basketball shooting, correlates of happiness, horseshoe crab mating, and much more.\nAn Introduction to Categorical Data Analysis, Third Edition\nis an invaluable tool for biostatisticians and statisticians as well as methodologists in the social and behavioral sciences, medicine and public health, education, marketing, and the biological and agricultural sciences.\nAuthor:\nAlan Agresti\n\nLength:\n371 pages\nPublisher:\nWiley; 3rd edition\nPublication Date:\nOctober 11, 2018\nLanguage:\nEnglish\nASIN:\nB07JCSVTDW\nISBN-10:\n1119405262\nISBN-13:\n9781119405269