Authors: Dehling, Herold
Fried, Roland
Title: Asymptotic distribution of two-sample empirical U-quantiles with applications to robust tests for structural change
Language (ISO): en
Abstract: We derive the asymptotical distributions of two-sample U-statistics and two-sample empirical U-quantiles in the case of weakly dependent data. Our results apply to observations that can be represented as functionals of absolutely regular processes, including e.g. many classical time series models as well as data from chaotic dynamical systems. Based on these theoretical results we propose a new robust nonparametric test for the two-sample location problem, which is constructed from the median of pairwise differences between the two samples. We inspect the properties of the test in the case of weakly dependent data and compare the performance with classical tests such as the t-test and Wilcoxon’s two-sample rank test with corrections for dependencies. Simulations indicate that the new test offers better power even than the Wilcoxon test in case of skewed and heavy tailed distributions, if at least one of the two samples is not very large. The test is then applied for detecting shifts of location in some weakly dependent time series, which are contaminated by outliers.
Subject Headings: Functional of an absolutely regular process
Hodges-Lehmann estimator
Two-sample location problem
Weak dependence
Issue Date: 2010-10-27
Appears in Collections:Sonderforschungsbereich (SFB) 823

Files in This Item:
File Description SizeFormat 
DP_4310_SFB823_dehling_fried.pdfDNB406.72 kBAdobe PDFView/Open

This item is protected by original copyright

All resources in the repository are protected by copyright.