Assume two independent populations are given. The associated independent random variables have Normal distributions with unknown expectations \theta_1 and \theta_2, respectively, and known common variance \sigma^2. The selection goal of Gupta's subset selection for two populations is to select a non-empty subset which contains the best, in the sense of largest expectation, population with confidence level P* (½ <P* <1). In Van der Laan and Van Eeden (1992) a generalized selection goal has been introduced and investigated. In this report extended tables with values of the expected subset size are given
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
In selection problems the usual loss function is the 0-1 one, i.e. the selection goal is to bound , ...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume k (k \geq 2) populations are given. The associated independent random variables have continuo...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
Assume k (integer k = 2) populations are given. The associated independent random variables have con...
In this paper some generalizations of Gupta's subset selection procedure are discussed. Assume k(\ge...
In this paper some generalizations of Gupta's subset selection procedure are discussed. Assume k(\ge...
Assume k (integer k = 2) populations are given. The associated independent random variables have con...
Some distributional results are derived for subset selection from Logistic populations, differing on...
Some distributional results are derived for subset selection from Logistic populations, differing on...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
In selection problems the usual loss function is the 0-1 one, i.e. the selection goal is to bound , ...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume k (k \geq 2) populations are given. The associated independent random variables have continuo...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
Assume k (integer k = 2) populations are given. The associated independent random variables have con...
In this paper some generalizations of Gupta's subset selection procedure are discussed. Assume k(\ge...
In this paper some generalizations of Gupta's subset selection procedure are discussed. Assume k(\ge...
Assume k (integer k = 2) populations are given. The associated independent random variables have con...
Some distributional results are derived for subset selection from Logistic populations, differing on...
Some distributional results are derived for subset selection from Logistic populations, differing on...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
In selection problems the usual loss function is the 0-1 one, i.e. the selection goal is to bound , ...