Abstract
A generalized goal using subset selection is discussed for the location parameter case. This goal is to select a non-empty subset from a set of k (k 2) treatments that contains at least one -best treatment with confidence level P*. For a set of treatments an -best treatment is defined as a treatment with location parameter on a distance less than or equal to ( o) from the best treatment, where best is defined as largest value of the location parameter. The efficiency of subset selection of an -best treatment relative to subset selection of the best treatment is investigated and is computed for some values of k and the confidence level for the Normal case as well as for the Logistic case.
| Original language | English |
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| Pages (from-to) | 647-656 |
| Journal | Biometrical Journal |
| Volume | 34 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1992 |