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

Use polynomial regression and nonlinear ARX models to approximate and predict system behavior. Validate models using real datasets and optimize them for minimal prediction errors.

We investigate the biases of the residuals and maximum likelihood parameter estimates from normal nonlinear regression models. Emphasis is placed on a class of partially nonlinear models, on the role ...

Standard Wald confidence regions for parameters in a normal nonlinear regression model often fail to capture accurately the uncertainty of estimation as reflected by the corresponding profile ...