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![]() |
刊名 | Journal of Inequalities and Applications
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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 |
DOI | 10.1186/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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