Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

Computational methods for fitting nonlinear models have developed considerably in the last decade. Statistical use of these techniques has, as yet, lagged somewhat behind. The present paper gives a ...

Nonlinear models of measurement errors are used to analyze and correct inaccuracies in data collection and interpretation.

Sometimes, it’s easy for a computer to predict the future. Simple phenomena, such as how sap flows down a tree trunk, are straightforward and can be captured in a few lines of code using what ...