In this paper subset selection procedures for selecting all treat-ment populations with means larger than a control population are pro-posed. The treatments and control are assumed to have a multivariate normal distribution. Various covariance structures are considered. All of the proposed procedures are easily implemented using existing tables of the multivariate normal and multivariate t distributions. Some other procedures which have been proposed require extensive and unevailable tables for their implementation
Statistical selection of the best population is discussed in general terms and the principles of sta...
[[abstract]]Suppose that k normal populations with means μ1,…, μ k and variances are considered. Wh...
In applied statistical studies, it is common to collect data on a large pool of candidate variables ...
A new subset selection procedure for k normal populations with a common known variance is proposed. ...
A multiple range subset selection procedure for k normal populations with a common known variance is...
probability requirement, eciency comparisons Mathematical Subject Classification: 62F07; 62G30 Abstr...
[[abstract]]In this paper, we propose and study a generalized subset selection procedure for selecti...
Selection of the “best” t out of k populations has been considered in the indifference zone formulat...
Some literature concerning two-stage selection procedures is given. In general, the problem of selec...
We consider the problem of selecting the best of k experimental treatments (populations) in comparis...
AbstractThis paper considers the problem of screeningkmultivariate normal populations (secondary dat...
In this paper statistical selection procedures are discussed in general terms. Statistical selection...
This paper presents a selection procedure that combines Bechhofer's indifference zone selection and ...
The work presents a method o f choosing the best normal population and a method of choosing the sub...
Statistical selection of the best population is discussed in general terms and the principles of sta...
Statistical selection of the best population is discussed in general terms and the principles of sta...
[[abstract]]Suppose that k normal populations with means μ1,…, μ k and variances are considered. Wh...
In applied statistical studies, it is common to collect data on a large pool of candidate variables ...
A new subset selection procedure for k normal populations with a common known variance is proposed. ...
A multiple range subset selection procedure for k normal populations with a common known variance is...
probability requirement, eciency comparisons Mathematical Subject Classification: 62F07; 62G30 Abstr...
[[abstract]]In this paper, we propose and study a generalized subset selection procedure for selecti...
Selection of the “best” t out of k populations has been considered in the indifference zone formulat...
Some literature concerning two-stage selection procedures is given. In general, the problem of selec...
We consider the problem of selecting the best of k experimental treatments (populations) in comparis...
AbstractThis paper considers the problem of screeningkmultivariate normal populations (secondary dat...
In this paper statistical selection procedures are discussed in general terms. Statistical selection...
This paper presents a selection procedure that combines Bechhofer's indifference zone selection and ...
The work presents a method o f choosing the best normal population and a method of choosing the sub...
Statistical selection of the best population is discussed in general terms and the principles of sta...
Statistical selection of the best population is discussed in general terms and the principles of sta...
[[abstract]]Suppose that k normal populations with means μ1,…, μ k and variances are considered. Wh...
In applied statistical studies, it is common to collect data on a large pool of candidate variables ...