May Barghout

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The large literature on sof lare reliability assessment and prediction is essentially concerned with parametric models: the inter-failuse time random variables are assumed to come ?om parametric families of distributions. Such models involve quite strong assumptions. The motivation for the present work is to relax these assumptions and in the tradition of(More)
This paper addresses a family of probability models for the failure time process known as order statistic models. Conventional order statistics models make rather strong distributional assumptions about the detection times: typically they assume that these come from some parametric family of distributions. In this paper a new model is presented that relaxes(More)
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