A NONPARAMETRIC TEST OF FIT OF A LINEAR-MODEL

被引：2
|
作者：
KOZEK, AS
机构：
[1] Institute of Computer Science, University of Wroclaw, Przesmyckiego 20
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1990年 / 19卷 / 01期
关键词：
kernel estimator; limit distribution; linear model; regression; test of fit;
D O I：
10.1080/03610929008830195
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 the paper we derive a test of fit of a linear model based on a nonparametic kernel estimator of a regression function. The test is especially useful when no replication is available. © 1990, Taylor & Francis Group, LLC. All rights reserved.
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页码：169 / 179
页数：11
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