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Uniformly strong consistency and Berry-Esseen bound of frequency polygons for α-mixing samples

机译:用于α混合样品的频率多边形的均匀强的一致性和Berry-esseen

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摘要

In this article, the frequency polygon investigated by Scott is studied as a nonparametric estimator for alpha-mixing samples. By some known exponent and moment inequalities, we obtain the uniformly strong consistency and Berry-Esseen bound of the estimator. The present results relax the relevant conditions used by Carbon et al. Furthermore, the convergence rate of the uniformly asymptotic normality is derived, which is O(n(- 1/11)) under the given conditions.
机译:在本文中,研究了Scott的频率多边形作为用于α混合样品的非参数估计器。通过一些已知的指数和时刻不平等,我们获得了估计者的统一强度浓度和浆果。目前的结果放宽Carben等人使用的相关条件。此外,衍生均匀渐近正常性的收敛速率,其是在给定条件下的O(n( - 1/11))。

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