Exact and Approximate Bayesian Solutions for Inference about Variance Components and Multivariate Inadmissibility.
Final technical rept. 1 May 72-1 Jun 76,
MICHIGAN UNIV ANN ARBOR DEPT OF STATISTICS
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Exact and approximate Bayesian solutions for inference about variance components and multivariate inadmissibility are obtained, using a class of prior distributions which allows realistic forms of prior knowledge to be incorporated. Results are based upon new mathematical representations for the Appell and ordinary hypergeometric functions. Author
- Statistics and Probability