Using jackknife to correct bias of MLE for the truncated Pareto distribution |
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Authors: | Fen Jiang |
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Affiliation: | School of Mathematics and Statistics, Yunnan University, Kunming, Yunnan, China |
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Abstract: | The Pareto distribution is a well-known probability distribution in statistics, which has been widely used in many fields, such as finance, physics, hydrology, geology and astronomy. However, the parameter estimation for the truncated Pareto distribution is much more complicated than that for the Pareto distribution. In this paper, we demonstrate that the bias of the maximum likelihood estimation for the truncated Pareto distribution can be significantly reduced by its jackknife estimation, which has a very simple form. |
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Keywords: | Cumulative distribution function Monte Carlo simulation parameter estimation random sample. |
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