Facultade de Fisioterapia

Robust testing for superiority between two regression curves

Pardo Fernández, Juan Carlos; Boente, G.
Abstract:
The problem of testing the null hypothesis that the regression functions of two populations are equal versus one-sided alternatives under a general nonparametric homoscedastic regression model is considered. To protect against atypical observations, the test statistic is based on the residuals obtained by using a robust estimate for the regression function under the null hypothesis. The asymptotic distribution of the test statistic is studied under the null hypothesis and under root local alternatives. A Monte Carlo study is performed to compare the finite sample behaviour of the proposed tests with the classical one obtained using local averages. A sensitivity analysis is carried on a real data set.
Year:
2016
Type of Publication:
Article
Journal:
Computational Statistics and Data Analysis
Volume:
97
Pages:
151-168
Month:
May
DOI:
https://doi.org/10.1016/j.csda.2015.12.002
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