This example shows how to build a menu system that enables you to perform nonlinear regression from a menu. Six modules are stored on an IML storage disk. After you have stored them, use this example ...

Halbert White, Consequences and Detection of Misspecified Nonlinear Regression Models, Journal of the American Statistical Association, Vol. 76, No. 374 (Jun., 1981), pp. 419-433 ...

We propose a global smoothing method based on polynomial splines for the estimation of functional coefficient regression models for non-linear time series. Consistency and rate of convergence results ...

Nonlinear Regression: The NLIN Procedure The NLIN procedure implements iterative methods that attempt to find least-squares estimates for nonlinear models. The default method is Gauss-Newton, although ...