Comparison of error distributions in nonparametric regression

被引：10
|
作者：
Pardo-Fernandez, Juan Carlos [1 ]
机构：
[1] Univ Vigo, Dept Estatist & IO, EU Enxeneria Tecn Ind, Vigo 36208, Spain
来源：
STATISTICS & PROBABILITY LETTERS | 2007年 / 77卷 / 03期
关键词：
error distribution; k-samples problem; nonparametric regression;
D O I：
10.1016/j.spl.2006.07.015
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 a procedure to test the equality of error distributions in several nonparametric regression models is introduced. Kolmogorov-Smirnov and Cramer-von Mises-type statistics are proposed and their asymptotic distributions are obtained. A bootstrap mechanism is used to approximate the critical values in practice. (c) 2006 Elsevier B.V. All rights reserved.
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页码：350 / 356
页数：7
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