Nonlinear Estimation Button

Click the button to display the Nonlinear Estimation Startup Panel. Nonlinear estimation involves finding the best fitting relationship between the values of a dependent variable and the values of a set of one or more independent variables (it is used as either a hypothesis testing or exploratory method).

In the Nonlinear Estimation module, you can specify any type of model by typing in the respective equation into an equation editor. The equations can include logical operators; thus, discontinuous (piecewise) regression models and models including indicator variables can also be estimated. The equations can also include a wide selection of distribution functions and cumulative distribution functions. Some models can be fit using maximum-likelihood estimation, or the user can specify least squares or a user-specified loss function.

STATISTICA also includes implementations of powerful algorithms for fitting Generalized Linear/Nonlinear Models (GLZ), including probit and multinomial logit models, and Generalized Additive Models (GAM).