Iterative weighted partial spline least squares estimation in semiparametric modeling of longitudinal data

被引:0
|
作者
孙孝前
尤进红
机构
[1] Department of Statistics, University of Missouri-Columbia, Columbia, MO 65211, USA ,Department of Mathematics and Statistics, University of Regina, Regina, Saskatchewan, Canada S4S 0A2
[2] Department of Mathematics, Huaiyin Teachers College, Huaian 223001, China
关键词
semiparametric modelling; longitudinal data; iterative weighted partial spline least squares estimator (IWPSLSE); asymptotic normality;
D O I
暂无
中图分类号
O211.67 [期望与预测];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper we consider the estimating problem of a semiparametric regression modelling whenthe data are longitudinal.An iterative weighted partial spline least squares estimator(IWPSLSE)for the para-metric component is proposed which is more efficient than the weighted partial spline least squares estimator(WPSLSE)with weights constructed by using the within-group partial spline least squares residuals in the sense
引用
收藏
页码:724 / 735
页数:12
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