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[null,"1.","Record Nr.",null,"UNINA9910463113103321"]
[null,null,"Autore",null,"Agresti Alan"]
[null,null,"Titolo",null,"Categorical data analysis / / Alan Agresti"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, New Jersey : , : Wiley-Interscience, , 2013"]
[{"$nulls":4},"©2013"]
[null,null,"ISBN",null,"1-118-71085-1"]
[{"$nulls":4},"1-118-71094-0"]
[null,null,"Edizione",null,"[3rd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (1581 p.)"]
[null,null,"Collana",null,"Wiley Series in Probability and Statistics"]
[null,null,"Disciplina",null,"519.5/35"]
[null,null,"Soggetti",null,"Multivariate analysis"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and indexes."]
[null,null,"Nota di contenuto",null,"Cover; Half Title page; Title page; Copyright page; Dedication; Preface; Chapter 1: Introduction: Distributions and Inference for Categorical Data; 1.1 Categorical Response Data; 1.2 Distributions for Categorical Data; 1.3 Statistical Inference for Categorical Data; 1.4 Statistical Inference for Binomial Parameters; 1.5 Statistical Inference for Multinomial Parameters; 1.6 Bayesian Inference for Binomial and Multinomial Parameters; Notes; Exercises; Chapter 2: Describing Contingency Tables; 2.1 Probability Structure for Contingency Tables; 2.2 Comparing Two Proportions"]
[{"$nulls":4},"Chapter 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 Predictors"]
[{"$nulls":4},"Chapter 9: Loglinear Models for Contingency Tables"]
[null,null,null,"Sommario/riassunto","Praise for the Second Edition  \"\"A must-have book for anyone expecting to do research and/or applications in categorical data analysis.\"\"-Statistics in Medicine  \"\"It is a total delight reading this book.\"\"-Pharmaceutical Research  \"\"If you do any analysis of categorical data, this is an essential desktop reference.\"\"-Technometrics  The use of "]
[{"$nulls":4},"statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments,"]