• FORMULATION OF A BI-ALGORITHM TO DETERMINE MEASURES OF NONLINEARITY IN NLR-MODELS WITH TWO PARAMETERS

Abstract

This paper introduces a novel computational algorithm for determining the root mean square (RMS) curvature and the values of the Hougaard measure of skewness simultaneously as nonlinearity measure in a nonlinear regression model (NLR-model) with two parameters. This suggested Bi-algorithm is suited for implementation using Computer Algebra Systems (CAS). We apply this algorithm throughout two illustrative examples.