Given are k varieties. The best variety is defined as the variety with the largest average yield per plot of common unit size. An almost best or an e:-best variety is a variety with an average yield on a distance not larger than \epsilon (\geq 0) from the best variety. Subset selection is considered for selection of the best variety, but also for selection of an \epsilon-best variety. A comparison between these two selection goals is made by investigating the relative efficiency of subset selection of an \epsilon-best variety. An application is the field of variety testing is presented
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
Assume two independent populations are given. The associated independent random variables have Norma...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
Given are k varieties. The best variety is defined as the variety with the largest average yield per...
Given are k varieties. The best variety is defined as the variety with the largest average yield per...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
In this paper statistical selection procedures are discussed in general terms. Statistical selection...
A generalized goal using subset selection is discussed for the location parameter case. This goal is...
A generalized goal using subset selection is discussed for the location parameter case. This goal is...
Assume k (\geq 2) uniform populations are given on (\mu_i - ½, \mu_i + ½) with location parameter \m...
Assume k (\geq 2) uniform populations are given on (\mu_i - ½, \mu_i + ½) with location parameter \m...
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 two independent populations are given. The associated independent random variables have Norma...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
Assume two independent populations are given. The associated independent random variables have Norma...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
Given are k varieties. The best variety is defined as the variety with the largest average yield per...
Given are k varieties. The best variety is defined as the variety with the largest average yield per...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
In this paper statistical selection procedures are discussed in general terms. Statistical selection...
A generalized goal using subset selection is discussed for the location parameter case. This goal is...
A generalized goal using subset selection is discussed for the location parameter case. This goal is...
Assume k (\geq 2) uniform populations are given on (\mu_i - ½, \mu_i + ½) with location parameter \m...
Assume k (\geq 2) uniform populations are given on (\mu_i - ½, \mu_i + ½) with location parameter \m...
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 two independent populations are given. The associated independent random variables have Norma...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...
Assume two independent populations are given. The associated independent random variables have Norma...
An almost best or an \epsilon-best population is defined as a population with location parameter on ...