On the convergence rates of kernel estimator and hazard estimator for widely dependent samples

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	On the convergence rates of kernel estimator and hazard estimator for widely dependent samples
	Li,Yongming 1,2; Zhou,Yong1 ; Liu,Chao 2
	2018-04-03
发表期刊	Journal of Inequalities and Applications
ISSN	1029-242X
卷号	2018 期号:1
摘要	AbstractIn this paper, we establish a Bernstein-type inequality for widely orthant dependent random variables, and obtain the rates of strong convergence for kernel estimators of density and hazard functions, under some suitable conditions.
关键词	Widely orthant dependent Kernel density estimator Hazard rate Strong convergence 62G05 62G20
DOI	10.1186/s13660-018-1659-1
语种	英语
WOS记录号	BMC:10.1186/s13660-018-1659-1
出版者	Springer International Publishing
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/408
专题	应用数学研究所
通讯作者	Li,Yongming
作者单位	1. 2.
推荐引用方式 GB/T 7714	Li,Yongming,Zhou,Yong,Liu,Chao. On the convergence rates of kernel estimator and hazard estimator for widely dependent samples[J]. Journal of Inequalities and Applications,2018,2018(1).
APA	Li,Yongming,Zhou,Yong,&Liu,Chao.(2018).On the convergence rates of kernel estimator and hazard estimator for widely dependent samples.Journal of Inequalities and Applications,2018(1).
MLA	Li,Yongming,et al."On the convergence rates of kernel estimator and hazard estimator for widely dependent samples".Journal of Inequalities and Applications 2018.1(2018).