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| Titel: |
On the problem of selecting good populations |
| Auteur: |
Gupta, Shanti S. Kim, Woo-Chul |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 10 (1981) nr. 11 pagina's 1043-1077 |
| Jaar: |
1981 |
| Inhoud: |
The problem of selecting good populations out of k normal populations is considered in a Bayesian framework under exchangeable normal priors and additive loss functions. Some basic approximations to the Bayes rules are discussed. These approximations suggest that some well-known classical rules are "approximate" Bayes rules. Especially, it is shown that Gupta-type rules are extended Bayes with respect to a family of the exchangeable normal priors for any bounded and additive loss function. Furthermore, for a simple loss function, the results of a Monte Carlo comparison of Gupta-type rules and Seal-type rules are presented. They indicate that, in general, Gupta-type rules perform better than Seal-type rules |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 4 van 6 gevonden artikelen
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