03549nam 2200637 450 991046311310332120200520144314.01-118-71085-11-118-71094-0(CKB)2670000000354468(EBL)1168529(OCoLC)840466744(SSID)ssj0000873336(PQKBManifestationID)11560556(PQKBTitleCode)TC0000873336(PQKBWorkID)10866827(PQKB)11351228(MiAaPQ)EBC1168529(JP-MeL)3000065395(PPN)188189394(Au-PeEL)EBL1168529(CaPaEBR)ebr10867993(CaONFJC)MIL604419(EXLCZ)99267000000035446820140513h20132013 uy 0engur|n|---|||||txtccrCategorical data analysis /Alan Agresti3rd ed.Hoboken, New Jersey :Wiley-Interscience,2013.©20131 online resource (1581 p.)Wiley Series in Probability and StatisticsDescription based upon print version of record.0-470-46363-5 Includes bibliographical references and indexes.Cover; Half Title page; Title page; Copyright page; Dedication; Preface; Chapter 1: Introduction: Distributions and Inference for Categorical Data; 1.1 Categorical Response Data; 1.2 Distributions for Categorical Data; 1.3 Statistical Inference for Categorical Data; 1.4 Statistical Inference for Binomial Parameters; 1.5 Statistical Inference for Multinomial Parameters; 1.6 Bayesian Inference for Binomial and Multinomial Parameters; Notes; Exercises; Chapter 2: Describing Contingency Tables; 2.1 Probability Structure for Contingency Tables; 2.2 Comparing Two ProportionsChapter 4: Introduction to Generalized Linear Models4.1 The Generalized Linear Model; 4.2 Generalized Linear Models for Binary Data; 4.3 Generalized Linear Models for Counts and Rates; 4.4 Moments and Likelihood for Generalized Linear Models; 4.5 Inference and Model Checking for Generalized Linear Models; 4.6 Fitting Generalized Linear Models; 4.7 Quasi-Likelihood and Generalized Linear Models; Notes; Exercises; Chapter 5: Logistic Regression; 5.1 Interpreting Parameters in Logistic Regression; 5.2 Inference for Logistic Regression; 5.3 Logistic Models with Categorical PredictorsChapter 9: Loglinear Models for Contingency TablesPraise 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.""-Technometrics The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments,Wiley series in probability and statistics.Multivariate analysisElectronic books.Multivariate analysis.519.5/35Agresti Alan103037MiAaPQMiAaPQMiAaPQBOOK9910463113103321Group-analytic psychotherapy, method and principles1400706UNINA