文章基本信息

标题：Lower Confidence Bounds for the Probabilities of Correct Selection
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作者：Radhey S. Singh ; Narinder Kumar
期刊名称：Journal of Probability and Statistics
印刷版ISSN：1687-952X
电子版ISSN：1687-9538
出版年度：2011
卷号：2011
DOI：10.1155/2011/765058
出版社：Hindawi Publishing Corporation
摘要：We extend the results of Gupta and Liang (1998), derived for location parameters, to obtain lower confidence bounds for the probability of correctly selecting the 𝑡 best populations (PCS𝑡) simultaneously for all 𝑡=1,…,𝑘−1 for the general scale parameter models, where 𝑘 is the number of populations involved in the selection problem. The application of the results to the exponential and normal probability models is discussed. The implementation of the simultaneous lower confidence bounds for PCS𝑡 is illustrated through real-life datasets.