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	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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