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Rodrigues, A.S., Dias, T.C.M., Lauretto, M. and Polpo, A. (2012) Reliability Analysis in Series Systems: An Empirical Comparison between Bayesian and Classical Estimators. 31st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, AIP Conference Proceedings, 1443, 214-221.

has been cited by the following article:

• TITLE: Reliability Estimators for the Components of Series and Parallel Systems: The Weibull Model

  AUTHORS: Felipe L. Bhering, Carlos A. de B. Pereira, Adriano Polpo

  KEYWORDS: Bayesian Analysis, Hierarchical Model, Left Censored Data, Right Censored Data

  JOURNAL NAME: Applied Mathematics, Vol.5 No.11, June 20, 2014

  ABSTRACT: This paper presents a hierarchical Bayesian approach to the estimation of components’ reliability (survival) using a Weibull model for each of them. The proposed method can be used to estimation with general survival censored data, because the estimation of a component’s reliability in a series (parallel) system is equivalent to the estimation of its survival function with right- (left-) censored data. Besides the Weibull parametric model for reliability data, independent gamma distributions are considered at the first hierarchical level for the Weibull parameters and independent uniform distributions over the real line as priors for the parameters of the gammas. In order to evaluate the model, an example and a simulation study are discussed.