Predicting from Early Failures the Last Failure Time of a (Log) Normal Sample |
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Authors: | Schmee Josef Nelson Wayne |
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Affiliation: | Institute of Administration and Management; Union College: Schenectady, NY 12308 USA.; |
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Abstract: | This paper presents a table of coefficients for best linear unbiased predictors (BLUPs) using the earliest r failure times to predict the n-th (last) failure time of a sample from a s-normal (or lognormal) life distribution. They are used to predict how long a sample of components will run until all fail, that is, how long a life test will last. This includes prediction of the life of a parallel system of n identical components from the first r component failure times. The table covers n = 2(1)10, r = 2(1)n - 1. The BLUPs are exact (approximate) for failure (time) censored data. |
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