Numerical methods for the nonlinear robust regression problem

Abstract

Several algorithms have been proposed to solve the robust regression problem. Procedures for the incar model have well beer tested and used. In this paper two sophisticated methods are given which take in consideration the difficulties of the nonlinear case. These algorithms are programmed and tested successfully on about 100 different numerical examples.