On Parameter Estimation of Semi-Varying Coefficient Models With Correlated Random Errors

Abstract

This paper deals with estimation of semi-varying coefficient models with correlated random errors. The estimations of the function coefficients are are given by the use of generalized weighted least squares. The theorem of Gauss-Markov was very well known, but moreover we present an estimation of parameter σ 2 .