Yang, J. - University of Western Ontario, Department of Economics - 1997
This paper studies adaptive estimation of nonlinear regression models with i.i.d. error terms . Previously in the literature, the adaptive maximum likelihood (AMLE) has been proposed only when the densities of the error terms are assumed to be symmetric.