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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/233346
Title: On the upper bound of the risk in selection of the T best items
Authors: Stoimenova, E.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
Issue Date: 2019
Publisher: Minsk : BSU
Citation: Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – P. 123-127.
Abstract: A fixed sample size procedure for selecting the t best system components 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 parameter distributions. The risk function for the Least Favorable Configuration is derived in an integral form for a large class of distribution functions
URI: http://elib.bsu.by/handle/123456789/233346
ISBN: 978-985-566-811-5
Sponsorship: This research was supported by the grant DH02-13 of the Bulgarian National Science Fund
Appears in Collections:2019. Computer Data Analysis and Modeling : Stochastics and Data Science

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