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

The heading "OLS Estimation Summary" indicates that the nonlinear ordinary least-squares (OLS) estimation method is used. This table indicates that all 3 parameters were estimated successfully using ...

IEMS 303 or equivalent; CS 150 or equivalent Description Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and ...

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 ...

Nonlinear mixed effects models (NLMMs) and self-modeling nonlinear regression (SEMOR) models are often used to fit repeated measures data. They use a common function shared by all subjects to model ...

The CATMOD procedure can perform linear regression and logistic regression of response functions for data that can be represented in a contingency table. See Chapter 5, "Introduction to Categorical ...