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- W1010986693 abstract "The problem of ranking and selecting normal means as originally studied by Shanti Gupta is approached herein from a robust Bayesian perspective. This model uses the usual hierarchical Bayesian setup but does not require complete specifications of the hyperpriors. Instead, elicited prior information about the population of means as a group is used to specify a quantile class for the hyperpriors. Two criteria are suggested for ranking and selecting which provide insight not only to which population is best, but in addition give quantitative methods for deciding how much better one population is than another. Using these criteria, minimum and maximum values are calculated for the derived quantile class. Relative sizes of these evaluations and the distance between the max and min give insight as to the quality of the data and the sufficiency of the sample size. These concepts are illustrated with a numerical example." @default.
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- W1010986693 date "1997-01-01" @default.
- W1010986693 modified "2023-09-23" @default.
- W1010986693 title "Normal Means Revisited" @default.
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- W1010986693 doi "https://doi.org/10.1007/978-1-4612-2308-5_2" @default.
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