A NOTE ON THE BERRY-ESSEEN BOUNDS FOR ρ-MIXING

被引:0
|
作者
Lu, C. [1 ]
Yu, W. [1 ]
Ji, R. L. [1 ]
Zhou, H. L. [1 ]
Wang, X. J. [1 ]
机构
[1] Anhui Univ, Sch Big Data & Stat, Hefei, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
  Berry-Esseen bound; asymptotic normality; nonparametric regression model; -mixing random variables; sample quantiles; SAMPLE QUANTILES; PARTIAL-SUMS;
D O I
10.1137/S0040585X97T991027
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Recently, Wang and Hu [Theory Probab. Appl., 63 (2019), pp. 479-499] established the Berry-Esseen bounds for rho-mixing random variables (r.v.'s) with the rate of normal approxima-tion O(n-1/6log n) by using the martingale method. In this paper, we establish some general results on the rates of normal approximation, which include the corresponding ones of Wang and Hu. The rate can be as high as O(n-1/5) or O(n-1/4log1/2 n) under some suitable conditions. As applica-tions, we obtain the Berry-Esseen bounds of sample quantiles based on rho-mixing random samples. Finally, we also present some numerical simulations to demonstrate finite sample performances of the theoretical result.
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页码:415 / 433
页数:19
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