GAUSS APPLICATION
Pre-written, customizable GAUSS programs designed to increase user productivity and extend GAUSS functionality in the fields of statistics, finance, engineering, physics, risk analysis and more.
| for generating GAUSS procedures for computing algorithmic derivatives. | |
| suite of tools for estimation and analysis of a number of pre-packaged models. | |
| for estimation of statistical models by maximum likelihood while allowing for the imposition of general constraints. | |
| CONSTRAINED OPTIMIZATION MT | solves the Nonlinear Programming problem, subject to general constraints on the parameters. |
| CURVEFIT | finds the best fit of the data to the function in the least squares sense. |
| DESCRIPTIVE STATISTICS MT | provide basic statistics for the variables in GAUSS data sets. |
| DISCRETE CHOICE ANALYSIS TOOLS | provides an adaptable, efficient, and user-friendly environment for linear data classification. |
| FANPAC MT | provides econometric tools commonly implementedfor estimation and analysis of financial data. |
| LINEAR PROGRAMMING MT | Thread-safe Execution, Sparse matrices, & MPS files. |
| LINEAR REGRESSION MT | set of procedures for estimating single equations or a simultaneous system of equations. |
| LOGLINEAR ANALYSIS MT | contains procedures for the analysis of categorical data using loglinear analysis. |
| MAXIMUM LIKELIHOOD MT | contains a set of procedures for the solution of the maximum likelihood problem with bounds on parameters. |
| NONLINEAR EQUATIONS MT | solves systems of nonlinear equations where there are as many equations as unknowns. |
| OPTIMIZATION MT | intended for the optimization of functions. |
| TIME SERIES MT | provides for comprehensive treatment of time series models, including model diagnostics, MLE estimation, and forecasts. |
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