We consider a nonlinear function-on-function additive regression model with multiple functional predictors. The forms of the nonlinear functions are unspecified, and offer great flexibility to model ...

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

The problem of testing for the location of a subset of the parameters entering the response function of a nonlinear regression model is considered. Two test statistics--the likelihood ratio test ...