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Categorical data analysis / / Alan Agresti



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Autore: Agresti Alan Visualizza persona
Titolo: Categorical data analysis / / Alan Agresti Visualizza cluster
Pubblicazione: Hoboken, New Jersey : , : Wiley-Interscience, , 2013
©2013
Edizione: 3rd ed.
Descrizione fisica: 1 online resource (1581 p.)
Disciplina: 519.5/35
Soggetto topico: Multivariate analysis
Soggetto genere / forma: Electronic books.
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and indexes.
Nota di contenuto: 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
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
Chapter 9: Loglinear Models for Contingency Tables
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 statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments,
Titolo autorizzato: Group-analytic psychotherapy, method and principles  Visualizza cluster
ISBN: 1-118-71085-1
1-118-71094-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910463113103321
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Serie: Wiley series in probability and statistics.