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Rank tests under uncertainty: Regression and local heteroscedasticity

Publication at Faculty of Mathematics and Physics |
2013

Abstract

In the linear regression model with heteroscedastic errors, we propose tests of regression with nuisance heteroscedasticity, and tests of heteroscedasticity with nuisance regression. Both types of tests are based on suitable regression rank scores.

The simulation study illustrates the good performance of tests.