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A Science of Decision MakingThe Legacy of Ward Edwards$
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Jie W. Weiss and David J. Weiss

Print publication date: 2008

Print ISBN-13: 9780195322989

Published to Oxford Scholarship Online: January 2009

DOI: 10.1093/acprof:oso/9780195322989.001.0001

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Bayesian Statistical Inference for Psychological Research

Bayesian Statistical Inference for Psychological Research

Chapter:
(p.161) 12 Bayesian Statistical Inference for Psychological Research
Source:
A Science of Decision Making
Author(s):

Jie W Weiss

David J Weiss

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195322989.003.0012

This chapter introduces psychologists to the Bayesian outlook in statistics. Bayesian statistics is based on a definition of probability as a particular measure of the opinions of ideally consistent people. Statistical inference is modification of these opinions in the light of evidence, and Bayes' theorem specifies how such modifications should be made. The tools of Bayesian statistics include the theory of specific distributions and the principle of stable estimation, which specifies when actual prior opinions may be satisfactorily approximated by a uniform distribution.

Keywords:   Bayesian outlook, Bayesian statistics, hypothesis testing, likelihood principle, consistent people

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