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Bayesian Statistical Inference
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Bayesian Statistical Inference



November 1984 | 80 pages | SAGE Publications, Inc
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).
 
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

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Gudmund R. Iversen

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ISBN: 9780803923287
$30.00 

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