Nonparametric predictive comparison of lifetime data under progressive censoring |
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Authors: | Tahani A. Maturi Pauline Coolen-Schrijner Frank P.A. Coolen |
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Affiliation: | Department of Mathematical Sciences, Durham University, Durham, DH1 3LE, UK |
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Abstract: | In reliability and lifetime testing, comparison of two groups of data is a common problem. It is often attractive, or even necessary, to make a quick and efficient decision in order to save time and costs. This paper presents a nonparametric predictive inference (NPI) approach to compare two groups, say X and Y, when one (or both) is (are) progressively censored. NPI can easily be applied to different types of progressive censoring schemes. NPI is a statistical approach based on few assumptions, with inferences strongly based on data and with uncertainty quantified via lower and upper probabilities. These inferences consider the event that the lifetime of a future unit from Y is greater than the lifetime of a future unit from X. |
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Keywords: | Lifetime testing Lower and upper probability Nonparametric predictive inference Pairwise comparison Progressive censoring |
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