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Bayesian Statistical Inference

About Bayesian Statistical Inference

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).

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  • Language:
  • English
  • ISBN:
  • 9780803923287
  • Binding:
  • Paperback
  • Pages:
  • 80
  • Published:
  • February 20, 1985
  • Dimensions:
  • 141x217x6 mm.
  • Weight:
  • 128 g.
Delivery: 1-2 weeks
Expected delivery: December 5, 2024

Description of Bayesian Statistical Inference

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).

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