一类负极值指数Pickands型估计量的渐近展开及平滑参数的最优选取
Asymptotic Expansion and the Optimal Choice of Sample Fraction for a Kind of Pickands-Type Estimator with Negative Extreme Value Index
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摘要: 在二阶正规变化条件下,研究了一类负极值指数Picands型估计量的渐近展式.并在均方误差意义下,讨论了平滑参数的最优选择.Abstract: This paper, under second regularly varying conditions, considers the asymptotic expansion, and the choice of optimal sample fraction for a kind of Pickands-type estimator with negative extreme value index.
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