Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1150418 | Journal of Statistical Planning and Inference | 2009 | 11 Pages |
Abstract
In this article we present a simple procedure to test for the null hypothesis of equality of two regression curves versus one-sided alternatives in a general nonparametric and heteroscedastic setup. The test is based on the comparison of the sample averages of the estimated residuals in each regression model under the null hypothesis. The test statistic has asymptotic normal distribution and can detect any local alternative of rate n-1/2n-1/2. Some simulations and an application to a data set are included.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Natalie Neumeyer, Juan Carlos Pardo-Fernández,