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Weak root-consistency of the least weighted squares under heteroscedasticity

Publication |
2011

Abstract

Weak rootconsistency of the Least Weighted Squares estimator of the coefficients of regression model is proved generally under the heteroscedasticity of error terms. The assumptions required for the weak $\sqrt{n}$-consistency are briefly discussed.

The roots of the heteroscedasticity are also critically considered