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Bayesian Models For Categorical Data Wiley Series In Probability And Statistics 1st Edition Peter Congdon

  • SKU: BELL-1309556
Bayesian Models For Categorical Data Wiley Series In Probability And Statistics 1st Edition Peter Congdon
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Bayesian Models For Categorical Data Wiley Series In Probability And Statistics 1st Edition Peter Congdon instant download after payment.

Publisher: Wiley
File Extension: PDF
File size: 18.9 MB
Pages: 447
Author: Peter Congdon
ISBN: 9780470092378, 0470092378
Language: English
Year: 2005
Edition: 1

Product desciption

Bayesian Models For Categorical Data Wiley Series In Probability And Statistics 1st Edition Peter Congdon by Peter Congdon 9780470092378, 0470092378 instant download after payment.

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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