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Regression quantiles and their two-step modifications

Publication at Faculty of Mathematics and Physics |
2012

Abstract

Regression quantiles and their two-step modifications based on R-estimation of slope components of regression parameter are asymptotically equivalent and are very close numerically even for small sample sizes; their extreme versions even exactly coincide. Regarding that, we study their relations under finite samples and show under which conditions their values exactly coincide.

This inter-relation is also numerically illustrated.