Sensitivity Analysis with Nonlinear Multiple Regression Models

Abstract

In this chapter, the insights offered by sensitivity analysis of nonlinear regression models built with multiple drivers and cross sectional data are examined. With nonlinear models, the impact of each driver depends on the values of other drivers. This joint influence adds an element of realism relative to linear regression models with constant response and provides richer insights from sensitivity analysis.