An estimator used in the process of minimizing the sum of the squares of the residuals to fit a nonlinear model to observed data, commonly used in nonlinear regression.
Nonlinear regression is a type of regression in which the model is nonlinear in its parameters, providing powerful tools for modeling complex real-world phenomena.
An in-depth look at nonlinear regression, contrasting it with linear regression, explaining its mathematical foundations, types, applications, and historical development.
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