Bayesian Statistical Inference

Klappentext 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). Inhaltsverzeichnis 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

Product details

• Authors: Gudmund R. Iversen, IVERSEN GUDMUND R
• Assisted by: Gudmund R. Iversen (Editor)
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 01.11.1984
• EAN: 9780803923287
• ISBN: 978-0-8039-2328-7
• No. of pages: 80
• Series: Quantitative Applications in t; Quantitative Applications in the Social Sciences; Quantitative Applications in t
• Subjects: Natural sciences, medicine, IT, technology; Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics