Publicação: A Note on the Prior Distributions of Weibull Parameters for the Reliability Function
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2009-01-01
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Taylor & Francis Inc
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In Bayesian Inference it is often desirable to have a posterior density reflecting mainly the information from sample data. To achieve this purpose it is important to employ prior densities which add little information to the sample. We have in the literature many such prior densities, for example, Jeffreys (1967), Lindley (1956); (1961), Hartigan (1964), Bernardo (1979), Zellner (1984), Tibshirani (1989), etc. In the present article, we compare the posterior densities of the reliability function by using Jeffreys, the maximal data information (Zellner, 1984), Tibshirani's, and reference priors for the reliability function R(t) in a Weibull distribution.
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Communications In Statistics-theory and Methods. Philadelphia: Taylor & Francis Inc, v. 38, n. 7, p. 1041-1054, 2009.
