Open Access
2014 Testing longitudinal data by logarithmic quantiles
Manfred Denker, Lucia Tabacu
Electron. J. Statist. 8(2): 2937-2952 (2014). DOI: 10.1214/14-EJS965

Abstract

The shoulder tip pain study of Lumley [13] is re-investigated. It is shown that the new logarithmic quantile estimation (LQE) technique in [9] applies and behaves well under singular covariance structure and small sample sizes as in the shoulder tip pain study. The findings in [6] can be assured under weaker assumptions using a combination of LQE and an ANOVA type statistic.

Citation

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Manfred Denker. Lucia Tabacu. "Testing longitudinal data by logarithmic quantiles." Electron. J. Statist. 8 (2) 2937 - 2952, 2014. https://doi.org/10.1214/14-EJS965

Information

Published: 2014
First available in Project Euclid: 12 January 2015

zbMATH: 1309.62080
MathSciNet: MR3299128
Digital Object Identifier: 10.1214/14-EJS965

Subjects:
Primary: 62G10 , 62K15
Secondary: 62-07

Keywords: almost sure weak convergence , ANOVA , Logarithmic quantile estimation , nonparametric factorial designs , rank tests , shoulder tip pain study

Rights: Copyright © 2014 The Institute of Mathematical Statistics and the Bernoulli Society

Vol.8 • No. 2 • 2014
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