Nonlinear Regression

In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations.

Read more about Nonlinear RegressionGeneral, Regression Statistics, Ordinary and Weighted Least Squares, Nonlinear Regression Algorithms

Other articles related to "nonlinear regression":

Michaelis–Menten Kinetics - Determination of Constants
... rate against concentration, and using nonlinear regression of the Michaelis–Menten equation, the parameters may be obtained ... Before computing facilities to perform nonlinear regression became available, graphical methods involving linearisation of the equation were used ... distort the error structure of the data and are inferior to nonlinear regression ...