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- W2029949976 abstract "Abstract Data from a classical Pareto distribution are to be used to make inferences about the inequality and precision parameters. In addition, it is desired to predict the behavior of further observations from the distribution. Three typical data configurations are considered (iid and two types of censoring). Dependent conjugate prior analyses are reviewed and are compared with an analysis involving independent priors for the inequality and precision parameters. It is argued that mathematical tractability should be, perhaps, a minor consideration in the choice of priors. A comparative example is included." @default.
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- W2029949976 title "Bayesian Estimation and Prediction for Pareto Data" @default.
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- W2029949976 doi "https://doi.org/10.1080/01621459.1989.10478875" @default.
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