A Comparison of Maximum Likelihood and Bayesian Estimators for the Three- Parameter Weibull Distribution
Journal of the Royal Statistical Society Series C (Applied Statistics)1987Vol. 36(3), pp. 358–358
Citations Over TimeTop 11% of 1987 papers
Abstract
Maximum likelihood and Bayesian estimators are developed and compared for the three‐parameter Weibull distribution. For the data analysed in the paper, the two sets of estimators are found to be very different. The reasons for this are explored, and ways of reducing the discrepancy, including reparametrization, are investigated. Our overall conclusion is that there are practical advantages to the Bayesian approach.
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