Robust estimation and testing for general nonlinear regression models

摘要

In this article, τ-estimates of parameters of general nonlinear models in finite dimensional spaces are derived. The method is highly insensitive to outliers. It can also be applied to solving a system of nonlinear equations. A probabilistic testing procedure is proposed and the method is supplemented by a numerical example.