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NEYMAN SMOOTH TESTS FOR THE GENERALIZED PARETO DISTRIBUTION
Abstract:ABSTRACT

The generalized Pareto distribution (GPD) is commonly used as extreme values's distribution. We present goodness of fit tests for the GPD based on Neyman's smooth tests statistics. The methods of maximum likelihood, moments and probability-weighted moments are used for estimating the GPD's parameters. Simulations are done to study the power of these tests.
Keywords:Goodness-of-fit test  Moments and probability-weighted moments  Information matrix
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