Cumulative estimation in semi-parametric models - (Non-parametric estimator base for a general weight function)

被引：1
|
作者：
Hu, HC [1 ]
Sun, HY
机构：
[1] Wuhan Univ, Coll Math, Wuhan 430072, Peoples R China
[2] Hubei Normal Univ, Dept Math, Huangshi 435002, Peoples R China
[3] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China
来源：
SURVEY REVIEW | 2005年 / 38卷 / 296期
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Consider the semi-parametric model l(i) = A(i)(T) X + s(t(i)) + Delta(j) (i = 1, (...) ,n). Firstly, the cumulative estimation method of linear model is applied to the semi-parametric model, moreover, a general weight function is chosen as the non-parametric estimator, both estimators of parameter X and non-parameter s(t(i)) are obtained. Secondly, some statistical properties of estimators are discussed. Finally, an example is imitated, which shows validity of the cumulative method.
引用
收藏
页码：158 / 164
页数：7
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