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|Title:||A nonparametric approach for selecting the most reliable population||Authors:||Tang, L.C.||Keywords:||Nonparametric
Ranking and selection
|Issue Date:||Feb-1997||Citation:||Tang, L.C. (1997-02). A nonparametric approach for selecting the most reliable population. Queueing Systems 24 (1-4) : 169-176. ScholarBank@NUS Repository.||Abstract:||In this paper, we present a nonparametric method for selecting the most reliable population in reliability life testing. We propose a new statistic, the transitional order statistic, and give a natural selection rule based on this statistic. Under the proposed selection rule, the probability of correct selection is calculated by defining a nonlinear indifference zone under the least favorable configuration. Finally, we present an example to illustrate the selection procedure and validate the results.||Source Title:||Queueing Systems||URI:||https://scholarbank.nus.edu.sg/handle/10635/54564||ISSN:||02570130|
|Appears in Collections:||Staff Publications|
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