Some Applications Of Nonlinear Regression Models In Forestry Research

Abstract

Many biological processes are basically nonlinear in nature and should be described as such in empirical modelling. Advantages of nonlinear regression models over their linear counterparts are discussed briefly. Examples of several nonlinear regression models useful in forestry are given and demonstrated graphically. With the ever-increasing availability of nonlinear regression rountines, it is hoped that more foresters will use such models in their research work and data analysis.