ENGLISH

Bayesian Models for Categorical Data

By Peter Congdon

Book information

Publisher
Wiley
Year
2005
ISBN
0470092378, 9780470092378
Language
english
Format
PDF
Filesize
19 MB (19616577 bytes)
Series
Wiley series in probability and statistics
Edition
1
Pages
447\447
Library
mexmat
Time added
2009-07-20 03:45:11

Description

Using Bayesian methods to analyze data has become common in applied statistics, social sciences, and medicine, along with other disciplines requiring close work with a diverse set of data. In this undergraduate text, Congdon (Queen Mary College, U. of London) takes a practical and accessible approach, focusing on statistical computing and applied data as he covers the principles of Bayesian inference, model comparison and choice, regression for metric outcomes, models for binary and count outcomes, random effect and latent variable models for multi-category outcomes, ordinal regression, discrete spatial data, time series models for discrete variables, hierarchical and panel data models and missing-data models.

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