Selection of the “best” t out of k populations has been considered in the indifference zone formulation by Bechhofer (1954) and in the subset selection formulation by Carroll, Gupta and Huang (1975). The latter approach is used here to obtain conservative solutions for the goals of selecting (i) all the “good” or (ii) only “good” populations, where “good” means having a location parameter among the largest t. For the case of normal distributions with common unknown variance, tables are produced for implementing these procedures. Also, for this case, simulation results suggest that the procedures may not be too conservative.</p
Some literature concerning two-stage selection procedures is given. In general, the problem of selec...
Assume k (integer k = 2) populations are given. The associated independent random variables have con...
A new subset selection procedure for k normal populations with a common known variance is proposed. ...
Selection of the “best” t out of k populations has been considered in the indifference zone formulat...
This paper presents a selection procedure that combines Bechhofer's indifference zone selection and ...
Assume k (integer k \qeq 2) independent populations are given. The associated independent random var...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
We refer to the two classical approaches to ranking and selection problems as the indifference zone ...
In this paper some generalizations of Gupta's subset selection procedure are discussed. Assume k(\ge...
probability requirement, eciency comparisons Mathematical Subject Classification: 62F07; 62G30 Abstr...
Assume k (k \geq 2) populations are given. The associated independent random variables have continuo...
Assume k (integer k \geq 2) independent populations \pi_1, \pi_2, ..., \pi_k are given. The associat...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
Assume two independent populations are given. The associated independent random variables have Norma...
Statistical selection is discussed in general terms. In a certain selection procedures are often mor...
Some literature concerning two-stage selection procedures is given. In general, the problem of selec...
Assume k (integer k = 2) populations are given. The associated independent random variables have con...
A new subset selection procedure for k normal populations with a common known variance is proposed. ...
Selection of the “best” t out of k populations has been considered in the indifference zone formulat...
This paper presents a selection procedure that combines Bechhofer's indifference zone selection and ...
Assume k (integer k \qeq 2) independent populations are given. The associated independent random var...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
We refer to the two classical approaches to ranking and selection problems as the indifference zone ...
In this paper some generalizations of Gupta's subset selection procedure are discussed. Assume k(\ge...
probability requirement, eciency comparisons Mathematical Subject Classification: 62F07; 62G30 Abstr...
Assume k (k \geq 2) populations are given. The associated independent random variables have continuo...
Assume k (integer k \geq 2) independent populations \pi_1, \pi_2, ..., \pi_k are given. The associat...
Given are k (\geq 2) exponential populations differing only in their location parameter. One wishes ...
Assume two independent populations are given. The associated independent random variables have Norma...
Statistical selection is discussed in general terms. In a certain selection procedures are often mor...
Some literature concerning two-stage selection procedures is given. In general, the problem of selec...
Assume k (integer k = 2) populations are given. The associated independent random variables have con...
A new subset selection procedure for k normal populations with a common known variance is proposed. ...