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GAUSS (software)

From Wikipedia, the free encyclopedia
(Redirected from GAUSS)
GAUSS
DeveloperAptech Systems
Release1984; 42 years ago (1984)
Stable release
22.1.0 / 10 March 2022; 4 years ago (2022-03-10)
Operating systemLinux, macOS, Windows
Typeprogramming language
Licenseproprietary
Websitewww.aptech.com

GAUSS is a matrix programming language for mathematics and statistics, developed and marketed by Aptech Systems. Its primary purpose is the solution of numerical problems in statistics, econometrics, time-series, optimization and 2D- and 3D-visualization.[1] It was first written in 1980[2] and was first published in 1984 for MS-DOS.[3] It has since become available for Linux, macOS and Windows.[4]

Examples

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GAUSS Applications

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A range of toolboxes are available for GAUSS at additional cost.[6]

Toolboxes
ToolboxDescription
Algorithmic DerivativesA program for generating GAUSS procedures for computing algorithmic derivatives.
Constrained Maximum Likelihood MTSolves the general maximum likelihood problem subject to general constraints on the parameters.
Constrained OptimizationSolves the nonlinear programming problem subject to general constraints on the parameters.
CurveFitNonlinear curve fitting.
Descriptive StatisticsBasic sample statistics including means, frequencies and crosstabs. This application is backwards compatible with programs written with Descriptive Statistics 3.1.
Descriptive Statistics MTBasic sample statistics including means, frequencies and crosstabs. This application is thread-safe and takes advantage of structures.
Discrete ChoiceA statistical package for estimating discrete choice and other models in which the dependent variable is qualitative in some way.
FANPAC MTComprehensive suite of GARCH (Generalized AutoRegressive Conditional Heteroskedastic) models for estimating volatility.
Linear Programming MTSolves small and large scale linear programming problems.
Linear Regression MTLeast squares estimation.
Loglinear Analysis MTAnalysis of categorical data using log-linear analysis.
Maximum Likelihood MTMaximum likelihood estimation of the parameters of statistical models.
Nonlinear Equations MTSolves systems of nonlinear equations having as many equations as unknowns.
OptimizationUnconstrained optimization.
Time Series MTExact ML estimation of VARMAX, VARMA, ARIMAX, ARIMA, and ECM models subject to general constraints on the parameters. Panel data estimation. Cointegration and unit root tests.

See also

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References

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  1. Burschka, Martin A.; Ehud Kalpan; Keith Purpura; Clay Reid; Ellen Bush (April 14, 1987). "The Scientific PC: Software for Problem Solving". PC Magazine. Vol. 6, no. 7. Ziff-Davis. pp. 155–178 via Google Books.
  2. Ernst, Steve (April 20, 2001). "Aptech Systems thrives on Gauss-powered growth". Puget Sound Business Journal. Vol. 21, no. 51. American City Business Journals. p. 6A via Gale.
  3. Anderson, Richard G. (April–June 1992). "The Gauss Programming System: A Review". Journal of Applied Econometrics. 7 (2). Wiley: 215–219. JSTOR 2285031.
  4. Perkel, Jeffrey M. (June 20, 2005). "Biology by the Numbers". The Scientist. Vol. 19, no. 12. pp. 32–33. ProQuest 200012247.
  5. Sodhi, Manmohan S.; Wayne Holland (October 2003). "GAUSS Mathematical and Statistical System 5.0". OR/MS Today. Vol. 30, no. 5. Institute for Operations Research and the Management Sciences. pp. 46 et seq. via Gale.
  6. "Explore GAUSS Application Modules | Aptech". store.aptech.com. Retrieved 2022-03-29.
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