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Record Nr. |
UNINA9910463113103321 |
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Autore |
Agresti Alan |
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Titolo |
Categorical data analysis / / Alan Agresti |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley-Interscience, , 2013 |
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©2013 |
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ISBN |
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1-118-71085-1 |
1-118-71094-0 |
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Edizione |
[3rd ed.] |
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Descrizione fisica |
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1 online resource (1581 p.) |
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Collana |
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Wiley Series in Probability and Statistics |
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Disciplina |
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Soggetti |
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Multivariate analysis |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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Praise for the Second Edition ""A must-have book for anyone expecting to do research and/or applications in categorical data analysis.""- |
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