The heteroskedastic linear regression model and the Hadamard product a note

A unified matrix approach to the heteroskedastic linear regression model and its estimation is presented. The Hadamard product plays an essential role. Our approach creates the possibility of treating not only the standard linear but also nonlinear specifications. Special attention is being paid to maximum-likelihood estimation.