Bayesian Statistical Inference / Edition 1

by Gudmund R. Iversen

Overview

Empirical researchers, for whom Iversen's volume provides an introduction, have generally lacked a grounding in the methodology of Bayesian inference. As a result, applications are few. After outlining the limitations of classical statistical inference, the author proceeds through a simple example to explain Bayes' theorem and how it may overcome these limitations. Typical Bayesian applications are shown, together with the strengths and weaknesses of the Bayesian approach. This monograph thus serves as a companion volume for Henkel's Tests of Significance (QASS vol 4).

Product Details

ISBN-13:	9780803923287
Publisher:	SAGE Publications
Publication date:	11/01/1984
Series:	Quantitative Applications in the Social Sciences , #43
Edition description:	New Edition
Pages:	80
Product dimensions:	5.50(w) x 8.50(h) x 0.20(d)

Table of Contents

Thomas Bayes and Statistical Inference
Classical Statistical Inference
Bayes' Theorem
Bayesian Methods for a Proportion
Bayesian Methods for Other Parameters
Prior Distributions
Bayesian Difficulties
Bayesian Strengths