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Quantitative Applications in the Social Sciences #43: Bayesian Statistical Inference

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Quantitative Applications in the Social Sciences #43: Bayesian Statistical Inference Cover

 

Synopses & Reviews

Synopsis:

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).

Synopsis:

Statisticians now generally acknowledge the theorectical importance of Bayesian inference, if not its practical validity. According to Gudmund R. Iversen, one reason for the lag in applications is that empirical researchers have lacked a grounding in the methodology. His volume provides this introduction and serves as a companion to #4, Tests of Significance.

Product Details

ISBN:
9780803923287
Author:
Iversen, Gudmund R.
Publisher:
Sage Publications (CA)
Location:
Beverly Hills :
Subject:
Research
Subject:
Bayesian statistical decision theory
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Edition Description:
Bibliography: p. 78-79.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
31
Publication Date:
19841131
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
80
Dimensions:
850x550

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Quantitative Applications in the Social Sciences #43: Bayesian Statistical Inference New Trade Paper
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Product details 80 pages Sage Publications - English 9780803923287 Reviews:
"Synopsis" by , 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).
"Synopsis" by , Statisticians now generally acknowledge the theorectical importance of Bayesian inference, if not its practical validity. According to Gudmund R. Iversen, one reason for the lag in applications is that empirical researchers have lacked a grounding in the methodology. His volume provides this introduction and serves as a companion to #4, Tests of Significance.
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