Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/54564
Title: A nonparametric approach for selecting the most reliable population
Authors: Tang, L.C. 
Keywords: Nonparametric
Ranking and selection
Reliability
Issue Date: Feb-1997
Source: 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: http://scholarbank.nus.edu.sg/handle/10635/54564
ISSN: 02570130
Appears in Collections:Staff Publications

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