Description: Bayesian Models for Categorical Data, Hardcover by Congdon, Peter, ISBN 0470092378, ISBN-13 9780470092378, Brand New, Free shipping in the US 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. Annotation ©2005 Book News, Inc., Portland, OR ()
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Book Title: Bayesian Models for Categorical Data
Number of Pages: 448 Pages
Language: English
Publication Name: Bayesian Models for Categorical Data
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2005
Subject: Probability & Statistics / Bayesian Analysis
Item Height: 1.3 in
Type: Textbook
Item Weight: 34.3 Oz
Author: Peter Congdon
Item Length: 9.9 in
Subject Area: Mathematics
Series: Wiley Series in Probability and Statistics Ser.
Item Width: 6.9 in
Format: Hardcover
