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Introduction to bayesian statistics

Introduction to bayesian statistics

William M. Bolstad
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There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. In Bayesian statistics the rules of probability are used to make inferences about the parameter. Prior information about the parameter and sample information from the data are combined using Bayes theorem. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. This book uniquely covers the topics usually found in a typical introductory statistics book but from a Bayesian perspective.
Année:
2004
Edition:
1
Editeur::
Wiley-Interscience
Langue:
english
Pages:
362
ISBN 10:
0471270202
ISBN 13:
9780471270201
Fichier:
PDF, 3.62 MB
IPFS:
CID , CID Blake2b
english, 2004
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