Nonlinear Regression

Nonlinear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. Unlike linear regression, which assumes a linear relationship between the variables, nonlinear regression allows for more complex relationships that can be modeled using nonlinear functions. Nonlinear regression is commonly used in fields such as biology, engineering, and economics to model complex phenomena that cannot be accurately described by linear models. The process of nonlinear regression involves selecting an appropriate nonlinear function to model the data, estimating the parameters of the function using a variety of optimization techniques, and evaluating the goodness of fit of the model using statistical tests and visualizations.
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