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Introduction to Bayesian Statistics 2nd Edition

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This book presents Bayes’ theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters. It does so in a simple manner that is easy to comprehend. The book compares traditional and Bayesian methods with the rules of probability presented in a logical way allowing an intuitive understanding of random variables and their probability distributions to be formed.

Author(s): Karl-Rudolf Koch
Edition: 2nd, updated and enlarged ed.
Publisher: Springer
Year: 2007

Language: English
Pages: 257
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;