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Bayesian prediction bounds for the pareto lifetime model
Authors:AM Nigm  H I Hamdy
Institution:1. Statistics Department, Faculty of Commerce , Kuwait University , P.O. Box 5486;2. Department of Mathematics and Statistics , The University of Vermont , Burlington, Vermont, 05405
Abstract:Suppose that the length of time in years for which a business operates until failure has a Pareto distribution. Let x1 ≤ x2 x3 ≤…≤zk denote the survival lifetimes of the first k of a random sample of n businesses. Bayesian predictions are to be made on the ordered failure times of t h e remaining (n-k) businesses, using the conditional probability density function. Examples are given to illustrate our results.
Keywords:business survival time  Pareto distribution  Bayesian prediction bounds
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