Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/3342

 Title: Evaluating the Risk in Selection of the t Best Populations Authors: Stoimenova, Eugenia Keywords: rankingpartitioningindifference zone formulationsingle-stage procedureleast favourable configurationloss functionsinvarianceriskpartially ranked dataComputer Stochastics Laboratory Issue Date: Sep-1996 Publisher: Institute of Mathematics with Computer Center at the Bulgarian Academy of Sciences Citation: Preprint Series/Report no.: 1996;9 Abstract: A fixed sample size procedure for selecting the t best populations is considered. The probability requirement is set to be satisfied under the indifference zone formulation. In order to minimize the average losses from misclassification, we use loss function which is sensitive to the number of misclassifications. The upper bound of the corresponding risk is derived for location and scale parameter distributions. The risk function for the Least Favorable Configuration is derived in an integral form for a large class of distribution functions. AMS subject classification: 62F07, 62C99, 62A05. Description: [Stoimenova Eugenia; Стоименова Евгения] URI: http://hdl.handle.net/10525/3342 Appears in Collections: Preprints

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