Tests of linear hypotheses based on regression rank scores
Open Access
- 1 January 1993
- journal article
- research article
- Published by Taylor & Francis Ltd in Journal of Nonparametric Statistics
- Vol. 2 (4), 307-331
- https://doi.org/10.1080/10485259308832561
Abstract
We propose a general class of asymptotically distribution-free tests of a linear hypothesis in the linear regression model. The tests are based on regression rank scores, recently introduced by Gutenbrunner and Jurecková (1992) as dual variables to the regression quantiles of Koenker and Bassett (1978). Their properties are analogous to those of the corresponding rank tests in location model. Unlike the other regression tests based on aligned rank statistics, however, our tests do not require preliminary estimation of nuisance parameters, indeed they are invariant with respect to a regression shift of the nuisance parameters.Keywords
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