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A nonparametric approach for selecting the most reliable population

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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.

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, National University of Singapore, 10 Kent Ridge Crescent, 119260, Singapore

    Loon C. Tang

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  1. Loon C. Tang
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Tang, L.C. A nonparametric approach for selecting the most reliable population. Queueing Syst 24, 169–176 (1996). https://doi.org/10.1007/BF01149085

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  • DOI: https://doi.org/10.1007/BF01149085

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