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The Burr Distribution as a Failure Model from a Bayesian Approach

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1 Author(s)
Papadopoulos, A.S. ; Department of Mathematics; University of North Carolina at Charlotte; Charlotte, NC 28223 USA.

The 2-parameter Burr distribution is introduced as a failure model from a Bayesian approach. Bayesian estimators for the parameter p and reliability function are derived. Two priors are considered when the Bayesian approach is used: gamma and uniform. The Bayesian estimators of p and R(t) were derived in a closed form. Thus the Bayesian estimators are mathematically tractable and easy to use. A hypothetical example shows how the Burr distribution would be used as a failure model.

Published in:

Reliability, IEEE Transactions on  (Volume:R-27 ,  Issue: 5 )