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- W1895556979 abstract "Suppliers involved in competitive procurement situations are frequently required to submit reliability predictions based upon some specified black box component/device failure rates. Often the supplier has evidence that specific new components/devices he is using will perform better than these specified failure rates. The purchaser then needs some rationale for evaluating the claims of the supplier and determining how supplier evidence, such as lab tests, should be combined with black box estimates. This paper describes a Bayes procedure which combines laboratory data from the infant mortality period with the black box rate. The resulting estimate is a weighted average of the black box rate and the rate estimated in the lab test. The weights are proportional to equivalent total hours of operation. Illustrative examples are given to demonstrate the application of the theory." @default.
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- W1895556979 date "2005-08-25" @default.
- W1895556979 modified "2023-09-25" @default.
- W1895556979 title "A Bayes Procedure for Combining Black Box Estimates and Laboratory Tests" @default.
- W1895556979 doi "https://doi.org/10.1109/rams.1984.764299" @default.
- W1895556979 hasPublicationYear "2005" @default.
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