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Rank tests and regression rank score tests in measurement error models

Publication at Faculty of Mathematics and Physics |
2010

Abstract

The rank and regression rank score tests of linear hypothesis in the linear regression model are modified for measurement error models. The asymptotic relative efficiencies of tests with respect to tests in models without measurement errors are evaluated.

The simulation study illustrates the powers of the tests.