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Simultaneous lower confidence bounds for probabilities of correct selections

✍ Scribed by Shanti S. Gupta; Ta Chen Liang


Book ID
104340634
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
114 KB
Volume
72
Category
Article
ISSN
0378-3758

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✦ Synopsis


In this paper, we are dealing with the problem of constructing lower conÿdence bounds for the PCS t , simultaneously, for all t = 1; : : : ; k -1; for the general location-parameter models, where k is the number of populations involved in a selection problem and PCSt denotes the probability of correctly selecting the t best populations. The result is then applied to the selection of the t best means of normal populations for the two cases where the common variance may be known or unknown. An example is provided to illustrate the implementation and interpretation of the lower conÿdence bounds of the PCS t .


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