L 1-norm estimation and random weighting method in a semiparametric model

被引:0
|
作者
Xue L.-G. [1 ]
Zhu L.-X. [2 ,3 ]
机构
[1] College of Applied Sciences, Beijing University of Technology
[2] Acad. of Math. and Systems Sciences, Chinese Academy of Sciences
[3] University of Hong Kong, Hong Kong
关键词
L[!sub]1[!/sub]-norm estimation; Random weighting method; Semiparametric regression model;
D O I
10.1007/s10255-005-0237-8
中图分类号
学科分类号
摘要
In this paper, the L 1-norm estimators and the random weighted statistic for a semiparametric regression model are constructed, the strong convergence rates of estimators are obtain under certain conditions, the strong efficiency of the random weighting method is shown. A simulation study is conducted to compare the L 1-norm estimator with the least square estimator in term of approximate accuracy, and simulation results are given for comparison between the random weighting method and normal approximation method. © Springer-Verlag 2005.
引用
收藏
页码:295 / 302
页数:7
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