Bayesian Models for Categorical Data

Peter Congdon - Collection Wiley Series in Probability and Statistics

426 pages, parution le 20/06/2005

Ajouter à une liste

Indisponible

Résumé

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes.

Reviews recent Bayesian methodology for categorical outcomes (binary, count and multinomial data).
Considers missing data models techniques and non-standard models (ZIP and negative binomial).
Evaluates time series and spatio-temporal models for discrete data.
Features discussion of univariate and multivariate techniques.
Provides a set of downloadable worked examples with documented WinBUGS code, available from an ftp site.

The author's previous 2 bestselling titles provided a comprehensive introduction to the theory and application of Bayesian models. Bayesian Models for Categorical Dat continues to build upon this foundation by developing their application to categorical, or discrete data - one of the most common types of data available. The author's clear and logical approach makes the book accessible to a wide range of students and practitioners, including those dealing with categorical data in medicine, sociology, psychology and epidemiology.

Sommaire

Preface
Principles of Bayesian Inference
Model Comparison and Choice
Regression for Metric Outcomes
Models for Binary and Count Outcomes
Further Questions in Binomial and Count Regression
Random Effect and Latent Variable Models for Multicategory Outcomes
Ordinal Regression
Discrete Spatial Data
Time Series Models for Discrete Variables
Hierarchical and Panel Data Models
Missing-Data Models
Index

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Peter Congdon
Collection	Wiley Series in Probability and Statistics
Parution	20/06/2005
Nb. de pages	426
Format	17 x 25
Couverture	Relié
Poids	983g
Intérieur	Noir et Blanc
EAN13	9780470092378
ISBN13	978-0-470-09237-8