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Bayesian Predictions for Exponentially Distributed Failure Times With One Change-Point

Bayesian Predictions for Exponentially Distributed Failure Times With One Change-Point Abstract Suppose that a number of items is put on operation and that their life times are identically exponentially distributed up to a time a , when the operating conditions change resulting in a different failure intensity of the exponential distribution for those items which have survived the change-point a . Predictions are made for the lifetime of operating items on condition of observed failures of a part of the items before and after the change-point a . The predictions are based on an Bayes approach, which is briefly introduced. Numerical examples are given to illustrate the results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economic Quality Control de Gruyter

Bayesian Predictions for Exponentially Distributed Failure Times With One Change-Point

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Publisher
de Gruyter
Copyright
Copyright © 2003 by the
ISSN
1869-6147
eISSN
1869-6147
DOI
10.1515/EQC.2003.195
Publisher site
See Article on Publisher Site

Abstract

Abstract Suppose that a number of items is put on operation and that their life times are identically exponentially distributed up to a time a , when the operating conditions change resulting in a different failure intensity of the exponential distribution for those items which have survived the change-point a . Predictions are made for the lifetime of operating items on condition of observed failures of a part of the items before and after the change-point a . The predictions are based on an Bayes approach, which is briefly introduced. Numerical examples are given to illustrate the results.

Journal

Economic Quality Controlde Gruyter

Published: Oct 1, 2003

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