Bayesian Models for Categorical Data (Wiley Series in...

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Bayesian Models for Categorical Data...

Bayesian Models for Categorical Data (Wiley Series in Probability and Statistics)

Name: Bayesian Models for Categorical Data (Wiley Series in Probability and Statistics)
ISBN: 9780470092378

Peter Congdon

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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.

Κατηγορίες:

Biology and other natural sciences

Έτος:

2005

Έκδοση:

Εκδότης:

Wiley

Γλώσσα:

english

Σελίδες:

447

ISBN 10: