One of the most important uses of PROC MODEL is to estimate unknown parameters in a nonlinear model. A simple nonlinear model has the form: where x is a vector of exogenous variables. To estimate ...
The paper is concerned with parametric models for populations of curves; i. e. models of the form $y_{i}(x)=f(\boldsymbol{\theta}_{\mathbf{\mathit{i}}};x)$ + error, i ...
The NLIN procedure implements iterative methods that attempt to find least-squares estimates for nonlinear models. The default method is Gauss-Newton, although several other methods, such as Gauss or ...