A nonparametric regression method

被引：2
|
作者：
Huang, ML [1 ]
Brill, PH
机构：
[1] Brock Univ, Dept Math, St Catharines, ON L2S 3A1, Canada
[2] Univ Windsor, Dept Math & Stat, Windsor, ON N9B 3P4, Canada
来源：
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS | 2001年 / 47卷 / 03期
关键词：
empirical distribution function; kernel estimator; L statistics; nonlinear regression;
D O I：
10.1016/S0362-546X(01)00282-6
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper introduces a nonparametric weighted regression method based on using a level crossing empirical distribution function. A weighted regression estimator is proposed. The mean square error of this estimator and comparison of its performance with other regression estimators, are studied. Computational methods are developed and numerical results are obtained by using simulations.
引用
收藏
页码：1467 / 1475
页数：9
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