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- W1540346711 abstract "The extensive literature on ranking and selection procedures depends heavily on the use of two alternative criteria that are philosophically out of tune with the decision theoretic framework. This chapter describes a new criterion for selecting a subset of k populations and also describes two subset selection procedures introduced by Gupta, Desu, and Sobel in terms of this criterion. Results based on a Monte Carlo studies show that the Gupta procedure is highly efficient. The criterion used in the chapter is advanced in terms of a natural loss function for only one potential application and is not intended to be universally relevant. Calculations are carried out in an invariant Bayesian framework using normal distributions and normal priors. Comparisons are based on Monte Carlo simulations for the case of k = 8 populations." @default.
- W1540346711 created "2016-06-24" @default.
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- W1540346711 date "1977-01-01" @default.
- W1540346711 modified "2023-09-26" @default.
- W1540346711 title "A SUBSET SELECTION PROBLEM EMPLOYING A NEW CRITERION" @default.
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- W1540346711 doi "https://doi.org/10.1016/b978-0-12-307560-4.50009-0" @default.
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