Abstract
In this paper we shall be concerned with the errors in the nonlinear model as opposed to the actual estimation of the parameter vector A simulation study is reported which indicates an empirical relationship between the optimal exponent p and the kurtosis of a given symmetric error distribution. The results are supported by the application of recently established asymptotic properties of linear LP-norm estimators to the nonlinear case.