ANCOVA: A Global Test Based on a Robust Measure of Location or Quantiles When There Is Curvature

被引：0
|
作者：
Wilcox, Rand R. [1 ]
机构：
[1] Univ Southern Calif, Psychol, Los Angeles, CA 90007 USA
来源：
JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2016年 / 15卷 / 01期
关键词：
ANCOVA; trimmed mean; non-parametric regression; Harrell-Davis estimator; bootstrap methods; comparing quantiles; Well Elderly 2 study;
D O I：
暂无
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：
For two independent groups, let M-j(x) be some conditional measure of location for the jth group associated with some variable Y, given that some covariate X = x. The goal is to test H-0: M-1(x) = M-2(x) for all x is an element of{x(1),..., x(p)} when using a robust or quantile location estimator.
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页码：12 / 31
页数：20
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