GAUSS

The GAUSS Mathematical and Statistical System is a fast matrix programming language widely used by scientists, engineers, statisticians, biometricians, econometricians, and financial analysts. Designed for computationally intensive tasks, the GAUSS system is ideally suited for the researcher who does not have the time required to develop programs in C/C++ or FORTRAN but finds that most statistical or mathematical “packages” are not flexible or powerful enough to perform complicated analysis or to work on large problems. Whatever mathematical tool or language you are now using, you’ll find that GAUSS can greatly increase your productivity!

This software is also referenced in ORMS.


References in zbMATH (referenced in 48 articles )

Showing results 1 to 20 of 48.
Sorted by year (citations)

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  1. Giovanni Millo: Robust Standard Error Estimators for Panel Models: A Unifying Approach (2017)
  2. Marek Hlavac: ExtremeBounds: Extreme Bounds Analysis in R (2016)
  3. Pek, Jolynn; Wu, Hao: Profile likelihood-based confidence intervals and regions for structural equation models (2015)
  4. Roger Bivand; Gianfranco Piras: Comparing Implementations of Estimation Methods for Spatial Econometrics (2015)
  5. Victor Gómez: SSMMATLAB: A Set of MATLAB Programs for the Statistical Analysis of State Space Models (2015)
  6. Brenton Kenkel; Curtis Signorino: Estimating Extensive Form Games in R (2014)
  7. Peter Ruckdeschel; Matthias Kohl: General Purpose Convolution Algorithm in S4 Classes by Means of FFT (2014)
  8. Ringle, Christian M.; Sarstedt, Marko; Schlittgen, Rainer: Genetic algorithm segmentation in partial least squares structural equation modeling (2014)
  9. Martin, Vance; Hurn, Stan; Harris, David: Econometric modelling with time series. Specification, estimation and testing (2013)
  10. Yu, Jun-Wu; Tian, Guo-Liang: Efficient algorithms for generating truncated multivariate normal distributions (2011)
  11. Yalta, A. Talha; Yalta, A. Yasemin: Should economists use open source software for doing research? (2010) ioport
  12. Ajmani, Vivek B.: Applied econometrics using the SAS system (2009)
  13. Almiron, Marcelo G.; Almeida, Eliana S.; Miranda, Marcio N.: The reliability of statistical functions in four software packages freely used in numerical computation (2009)
  14. McCullough, B. D.: Special section on Microsoft Excel 2007 (2008)
  15. McCullough, B. D.; Heiser, David A.: On the accuracy of statistical procedures in Microsoft Excel 2007 (2008)
  16. Yalta, A. Talha: The accuracy of statistical distributions in Microsoft$^\circledR$ Excel 2007 (2008)
  17. Bhowmik, Jahar L.; King, Maxwell L.: Maximal invariant likelihood based testing of semi-linear models (2007)
  18. Lu, Zeng-Hua; Brown, Bruce M.: An exclusive regressors binary mixture model with an application to labour supply (2006)
  19. Begum, Nelufa; King, Maxwell L.: Most mean powerful test of a composite null against a composite alternative (2005)
  20. Lütkepohl, Helmut: New introduction to multiple time series analysis. (2005)

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