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- W2055566291 abstract "The problem of simultaneously selecting two non-empty subsets, SLand SU, of k populations which contain the lower extreme population (LEP) and the upper extreme population (UEP), respectively, is considered. Unknown parameters θ1,…,θkcharacterize the populations π1,…,πkand the populations associated with θ[1]=min θi. and θ[k]= max θi. are called the LEP and the UEP, respectively. It is assumed that the underlying distributions possess the monotone likelihood ratio property and that the prior distribution of θ= (θ1,…,θk) is exchangeable. The Bayes rule with respect to a general loss function is obtained. Bayes rule with respect to a semi-additive and non-negative loss function is also determined and it is shown that it is minimax and admissible. When the selected subsets are required to be disjoint, it shown that the Bayes rule with respect to a specific loss function can be obtained by comparing certain computable integrals, Application to normal distributions with unknown means θ1,…,θkand a common known ..." @default.
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- W2055566291 date "1994-01-01" @default.
- W2055566291 modified "2023-09-25" @default.
- W2055566291 title "Simultaneous selection of extreme populations:a bayesian approach" @default.
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- W2055566291 doi "https://doi.org/10.1080/03610929408831368" @default.
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