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Bayesian Statistical Inference

Autor Gudmund R. Iversen
en Limba Engleză Paperback – noi 1984
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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Specificații

ISBN-13: 9780803923287
ISBN-10: 0803923287
Pagini: 82
Ilustrații: 1
Dimensiuni: 140 x 216 x 5 mm
Greutate: 0.12 kg
Ediția:1
Editura: SAGE Publications
Locul publicării:Thousand Oaks, United States

Cuprins

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

Descriere

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).