Let g be a nonlinear function of the regression parameters β in a heteroscedastic linear model and β̂ be the least squares estimator of β. We consider the estimation of the variance and bias of g(β̂) ...

General results are obtained for an approximation to the variance of a weighted regression estimator in which the weights are sample estimators of unknown unpatterned variances. Independent normally ...