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Asymptotic properties of the edge frequency polygons under φ-mixing samples 期刊论文

编号：

679851ABF5AB6214CC92CDC3D46D0863
作者：

Deng, Xin#^[1,2]Ge, Meimei^[1];Xia, Yanlei^[1];Wang, Yan*^[3]
语种：

英文
期刊：

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION ISSN：0094-9655 2026 年 ; 2026 FEB 26
收录：
关键词：

Edge frequency polygon uniformly complete consistency asymptotic normality phi-mixing samples
摘要：

As the improvement method of frequency polygons, the edge frequency polygons exhibit superior statistical properties. In this paper, an in-depth exploration of the asymptotic behaviour of the edge frequency polygon estimation is conducted. Specifically, under the phi-mixing samples, its uniformly complete consistency and asymptotic normality are established. Finally, comprehensive numerical simulations are provided to illustrate these large-sample properties of the estimation.
推荐引用方式
GB/T 7714：

Deng Xin,Ge Meimei,Xia Yanlei, et al. Asymptotic properties of the edge frequency polygons under φ-mixing samples [J].JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION,2026.
APA：

Deng Xin,Ge Meimei,Xia Yanlei,Wang Yan.(2026).Asymptotic properties of the edge frequency polygons under φ-mixing samples .JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION.
MLA：

Deng Xin, et al. "Asymptotic properties of the edge frequency polygons under φ-mixing samples" .JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION(2026).
入库时间：

3/15/2026 9:24:11 PM
更新时间：

3/15/2026 9:24:11 PM

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