Testing longitudinal data by logarithmic quantiles

被引：2
|
作者：
Denker, Manfred [1 ]
Tabacu, Lucia [2 ]
机构：
[1] Penn State Univ, Dept Math, University Pk, PA 16802 USA
[2] Old Dominion Univ, Dept Math & Stat, Norfolk, VA 23529 USA
来源：
ELECTRONIC JOURNAL OF STATISTICS | 2014年 / 8卷
基金：
美国国家科学基金会;
关键词：
Logarithmic quantile estimation; nonparametric factorial designs; rank tests; ANOVA; almost sure weak convergence; shoulder tip pain study; FACTORIAL-DESIGNS; NONPARAMETRIC HYPOTHESES; RANK STATISTICS;
D O I：
10.1214/14-EJS965
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：
The shoulder tip pain study of Lumley [13] is re-investigated. It is shown that the new logarithmic quantile estimation (LQE) technique in 191 applies and behaves well under singular covariance structure and small sample sizes as in the shoulder tip pain study. The findings in 16] can be assured under weaker assumptions using a combination of LQE and an ANOVA type statistic.
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页码：2937 / 2952
页数：16
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