Add to ORKGGiven are k (\geq 2) exponential populations differing only in their location parameter. One wishes to choose the best one, that is the population with the largest value of the location parameter. A possible method for solving this problem is to select a subset of the k populations of size at least one which includes the best population with a required confidence P*(k^{-1} <P* <1). In this paper the required selection constant is determined for different values of k and P*. Also an approximation for the selection constant is derived. A comparison with the exact results is made
Assume k (integer k \qeq 2) independent populations are given. The associated independent random var...
Assume k (\geq 2) uniform populations are given on (\mu_i - ½, \mu_i + ½) with location parameter \m...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
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 ...
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 continuo...
Assume k (integer k \qeq 2) independent populations are given. The associated independent random var...
Assume k (integer k \qeq 2) independent populations are given. The associated independent random var...
Assume k (\geq 2) uniform populations are given on (\mu_i - ½, \mu_i + ½) with location parameter \m...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
Given are k(2) exponential populations differing only in their location parameter. One wishes to cho...
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 ...
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 continuo...
Assume k (integer k \qeq 2) independent populations are given. The associated independent random var...
Assume k (integer k \qeq 2) independent populations are given. The associated independent random var...
Assume k (\geq 2) uniform populations are given on (\mu_i - ½, \mu_i + ½) with location parameter \m...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...