Bayesian and frequentist regression methods
Author(s)
Bibliographic Information
Bayesian and frequentist regression methods
（Springer series in statistics）
Springer, c2013
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Note
Includes bibliographical references (p. 675-688) and index
Description and Table of Contents
Description
Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place.
The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines.
Table of Contents
Introduction.- Frequentist Inference.- Bayesian Inference.- Linear Models.- Binary Data Models.- General Regression Models.
by "Nielsen BookData"
