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Large-sample quantile estimation in pareto laws
Authors:Ioannis A Koutrouvelis
Institution:Department of Mathematical Sciences , Virginia Commonwealth University , Richmond, Virginia, 23284
Abstract:A large-sample method of estimation for the parameters of Pareto laws is investigatedo The estimates are derived by using a small subset of k sample quantiles out of the original observations. The optimum spacing of the k quantiles is also examined. A Monte Carlo study compares this method with the method of moments and that of maximum likelihood for a selected set of parameter values and sample sizes.
Keywords:order statistics  optimum spacing  Pareto distribution
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