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Nonparametric Predictive Inference for k-out-of-m Systems
F.P.A. Coolen, P. Coolen-Schrijner
185 - 192
Advances in Mathematical Modeling for Reliability
Abstract

We present lower and upper probabilities for reliability of k-out-of-m systems with exchangeable components. These interval probabilities are based on the nonparametric predictive inferential (NPI) approach for Bernoulli data [5]. It is assumed that test data are available on the components, and that the components to be used in the system are exchangeable with those tested. An attractive feature is the way in which data containing zero failures can be dealt with.

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