Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors | |
Wu, Yi; Wang, Xuejun; Hu, Shuhe | |
刊名 | AStA Advances in Statistical Analysis |
2018 | |
卷号 | Vol.102 No.1页码:41-65 |
关键词 | NSD RANDOM-VARIABLES WEIGHTED SUMS COMPLETE CONVERGENCE ASYMPTOTIC PROPERTIES ASSOCIATION THEOREM |
ISSN号 | 1863-8171;1863-818X |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2155296 |
专题 | 安徽大学 |
作者单位 | Anhui Univ, Sch Math Sci, Hefei 230601, Anhui, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Yi,Wang, Xuejun,Hu, Shuhe. Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors[J]. AStA Advances in Statistical Analysis,2018,Vol.102 No.1:41-65. |
APA | Wu, Yi,Wang, Xuejun,&Hu, Shuhe.(2018).Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors.AStA Advances in Statistical Analysis,Vol.102 No.1,41-65. |
MLA | Wu, Yi,et al."Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors".AStA Advances in Statistical Analysis Vol.102 No.1(2018):41-65. |
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