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A BAYESIAN RELIABILITY GROWTH MODEL
[report]
1967
unpublished
A model is presented for the reliability growth of a system during a test program. Parameters of the model are assumed to be random variables with appropriate prior density functions . Expressions are then derived that enable estimates (in the form of expectations) and precision statements (in the form of variances) to be made of » projected system reliability at time T after the start of the test program . system reliability after the observation of failure data Numerical examples are
doi:10.21236/ad0663279
fatcat:njsef2lsjbcs5hxovr3h7kfjga