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A New Class Of Estimator And Convergence Property Of The Endpoint Estimators

Posted on:2007-11-02Degree:MasterType:Thesis
Country:ChinaCandidate:Q S CengFull Text:PDF
GTID:2120360185959189Subject:Probability theory and mathematical statistics
Abstract/Summary:PDF Full Text Request
In the first part of this paper,a new class of estimator for the extreme value index is proposed,denoted by γn,mH:The Consistency and asymptotic distribution of this kind extreme value index estimator are proved. we analyze new estimator and meoment estimator by simulation.In the second part of this paper, I propose a new kind of endpoint estimator as the extreme value index is negative:The weak and strong consistency ofis proved,and the strong convergence rate is derived.Asymptotic property ofis proved.
Keywords/Search Tags:Moment estimation, regular varying function, weak and strong convergence, strong convergence rate, asymptotic normality
PDF Full Text Request
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