Nonparametric Tests in Linear Model with Autoregressive Errors

Abstract

In the linear regression model with possibly autoregressive errors, we propose a family of nonparametric tests for regression under a nuisance autoregression. The tests avoid the estimation of nuisance parameters, in contrast to the tests proposed in the literature. A simulation study, as well as an application of tests to real data, illustrate their good performance.