Consistency of LS estimators in the EV regression model with martingale difference errors

被引:9
|
作者
Miao, Yu [1 ]
Wang, Yanling [1 ]
Zheng, Haojiang [1 ]
机构
[1] Henan Normal Univ, Coll Math & Informat Sci, Xinxiang 453007, Henan Province, Peoples R China
关键词
EV model; strong consistency; weak consistency; LS estimator; martingale difference sequence; 62F12; 60F05;
D O I
10.1080/02331888.2014.903950
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we consider the following simple linear errors in variables model where , , x(1), x(2),...are unknown constants (parameters) and (i), (i), i=1, 2,...are observable. The consistency of the least square estimators for the unknown parameters and is established, while the errors { E-i}, {(i)} are sequences of martingale difference. In order to obtain our results, some limit theorems for weighted sums of martingale differences are proved.
引用
收藏
页码:104 / 118
页数:15
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