Estimation in Linear Regression under the Presence of Heteroskedasticity of a Completely Unknown Form

摘要

A method is investigated for estimating the regress coefficients in a linear model with symmetrically distributed errors. The variances sq omicron sub t of the errors are unknown; it is neither assumed that they are an unknown function of the explanatory variables nor that they are given in some parametric way.