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Nonparametric predictive inference in reliability
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DOI：10.1016/S0951-8320(02)00162-X.png)
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Abstract
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We introduce a recently developed statistical approach, called nonparametric predictive inference (NPI), to reliability. Bounds for the survival function for a future observation are presented. We illustrate how NPI can deal with right-censored data, and discuss aspects of competing risks. We present possible applications of NPI for Bernoulli data, and we briefly outline applications of NPI for replacement decisions. The emphasis is on introduction and illustration of NPI in reliability contexts, detailed mathematical justifications are presented elsewhere. (C) 2002 Elsevier Science Ltd. All rights reserved.
Keywords:
censored data
competing risks
interval probability
nonparametric inference
prediction
survival function
replacement decisions
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