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

机译:α混合样本的频率多边形的一致强一致性和Berry-Esseen界

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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所研究的频率多边形,作为α混合样本的非参数估计量。通过一些已知的指数和矩不等式,我们获得了估计量的一致强一致性和Berry-Esseen界。目前的结果放宽了Carbon等人使用的相关条件。此外,推导一致渐近正态性的收敛速度,在给定条件下为O(n(-1/11))。

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