中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
On the convergence rates of kernel estimator and hazard estimator for widely dependent samples

文献类型:期刊论文

作者Li,Yongming1,2; Zhou,Yong1; Liu,Chao2
刊名Journal of Inequalities and Applications
出版日期2018-04-03
卷号2018期号:1
关键词Widely orthant dependent Kernel density estimator Hazard rate Strong convergence 62G05 62G20
ISSN号1029-242X
DOI10.1186/s13660-018-1659-1
英文摘要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.
语种英语
WOS记录号BMC:10.1186/S13660-018-1659-1
出版者Springer International Publishing
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/407]  
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).

入库方式: OAI收割

来源:数学与系统科学研究院

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