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Nonlinear Regression Definition

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# Nonlinear Regression Definition

Nonlinear regression is a type of regression analysis differs from linear regression because the prediction equation is a nonlinear equation dependent upon nonlinear parameters. A typical nonlinear model might be the exponential decay or exponential growth. The exponential growth curve is often short-lived and is usually better described with a logistic model.

You can often make a nonlinear model linear using logarithms. One way is to use the regular least squares method to fit ln(Y) = ln(A) + bX + ln(u). That is a way of fitting the data to curve Y = AebX. This is an iterative procedure.

Nonlinear regression is one type of regression analysis in which the data fitting is iterative and the data are continuously approximated. Nonlinear regression depends on nonlinear parameters in its model.

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