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Informationen zum Autor ALAN AGRESTI is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He has presented short courses on categorical data methods in thirty countries. He is the author of five other books, including An Introduction to Categorical Data Analysis, Second Edition and Analysis of Ordinal Categorical Data, Second Edition, both published by Wiley. Klappentext Praise for the Second Edition"A must-have book for anyone expecting to do research and/or applications in categorical data analysis."--Statistics in Medicine"It is a total delight reading this book."--Pharmaceutical Research"If you do any analysis of categorical data, this is an essential desktop reference."--TechnometricsThe use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis.Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. This edition also features:* An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models* Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis* New sections introducing the Bayesian approach for methods in that chapter* More than 100 analyses of data sets and over 600 exercises* Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources* A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutionsCategorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control. Zusammenfassung Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis. " Statistics in Medicine "It is a total delight reading this book. Inhaltsverzeichnis Preface xiii1 Introduction: Distributions and Inference for Categorical Data 11.1 Categorical Response Data, 11.2 Distributions for Categorical Data, 51.3 Statistical Inference for Categorical Data, 81.4 Statistical Inference for Binomial Parameters, 131.5 Statistical Inference for Multinomial Parameters, 171.6 Bayesian Inference for Binomial and Multinomial Parameters, 22Notes, 27Exercises, 282 Describing Contingency Tables 372.1 Probability Structure for Contingency Tables, 372.2 Comparing Two Proportions, 432.3 Conditional Association in Stratified 2 × 2 Tables, 472.4 Measuring Association in I × J Tables, 54Notes, 60Exercises, 603 Inference for Two-Way Contingency Tables 693.1 Confidence Intervals for Association Parameters, 693.2 Testing Independence in Two-way Contingency Tables, 753.3 Following-up Chi-Squared Tests, 803.4 Two-Way Tables with Ordered Classifications, 863.5 Small-Sample Inference for Contingency Tables, 903.6 Bayesian Inference for Two-way Contingency Tables, 963.7 Extensions...
