A non-linear regression analysis program for describing electrophysiological data with multiple functions using Microsoft Excel. Comput. Methods Programs Biomed. 82 , 51–57 (2006).

Nonlinear Regression Analysis . 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 ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

However, there may be circumstances where the relationship between the variables is non-linear (i.e., does not take the shape of a straight line), and we can draw other shaped lines through the ...

Example 8.15: Full-Screen Nonlinear Regression. 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 ...

In univariate nonlinear regression models, estimator and test statistics based on (generalized) least squares and maximum likelihood methods are usually nonrobust; M-procedures are better in this ...