On Hierarchical Bayesian Estimation and Selection for Multivariate Hypergeometric Distributions

Author:

Liang TaChen

Publisher

Birkhäuser Boston

Reference9 articles.

1. Balakrishnan, N. and Ma, Y. (1996). Empirical Bayes rules for selecting the most and least probable multivariate hypergeometric event, Statistics & Probability Letters, 27, 181–188.

2. Balakrishnan, N. and Ma, Y. (1997). On empirical Bayes rules for selecting the best hypergeometric population, Sequential Analysis (to appear).

3. Bartlett, N. S. and Govindarajulu, Z. (1970). Selecting a subset containing the best hypergeometric population, Sankhyā, Series B, 32, 341–352.

4. Bechhofer, R. E., Santner, T. J. and Goldsman, D. M. (1995). Design and Analysis of Experiments For Statistical Selection, Screening, and Multiple Comparisons, New York: John Wiley & Sons.

5. Cressie, N. and Scheult, A. (1985). Empirical Bayes estimation in sampling inspection, Biometrika, 72, 451–458.

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1. Bayes and Empirical Bayes Two-Stage Procedures for Sampling Inspection;Communications in Statistics - Theory and Methods;2009-03-11

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