A Bayesian Approach to Some Multinomial Estimation and Pretesting Problems
作者:
Tom Leonard,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1977)
卷期:
Volume 72,
issue 360
页码: 869-874
ISSN:0162-1459
年代: 1977
DOI:10.1080/01621459.1977.10479974
出版商: Taylor & Francis Group
关键词: Bayesian estimation;Multinomial probabilities;Dirichlet distributions;Chi-squared statistic;Preliminary test of significance
数据来源: Taylor
摘要:
New Bayesian estimates are proposed for multinomial probabilities, when the prior distribution is a mixture of Dirichlet distributions. They are based upon a distributional approximation for the χ2statistic and may be contrasted with the frequentist approximations recommended by other authors. An alternative is also suggested to the χ2goodness-of-fit test, when it is employed as a preliminary test of significance. The new procedure possesses remarkably different properties; it is used to reanalyze some data from Mendel's pea breeding experiment. The results suggest that the χ2test may have no particular relevance in preliminary testing situations.
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