A comparative study of the reliability of nine statistical software packages

@article{Keeling2007ACS,
  title={A comparative study of the reliability of nine statistical software packages},
  author={Kellie B. Keeling and Robert J. Pavur},
  journal={Computational Statistics & Data Analysis},
  year={2007},
  volume={51},
  pages={3811-3831}
}
The reliabilities of nine software packages commonly used in performing statistical analysis are assessed and compared. The (American) National Institute of Standards and Technology (NIST) data sets are used to evaluate the performance of these software packages with regard to univariate summary statistics, one-way ANOVA, linear regression, and nonlinear regression. Previous research has examined various versions of these software packages using the NIST data sets, but typically with fewer… CONTINUE READING
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References

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Showing 1-10 of 17 references

On the accuracy of statistical procedures in Microsoft Excel 2003

Computational Statistics & Data Analysis • 2005
View 20 Excerpts
Highly Influenced

Choosing reliable statistical software

M. Altman, M. McDonald
PS: Political Sci. Politics • 2001
View 10 Excerpts
Highly Influenced

Experience with the StRD: application and interpretation

B. D. McCullough
Comput. Sci. Statist • 2000
View 14 Excerpts
Highly Influenced

On the accuracy of statistical distributions in Microsoft Excel 2003

Computational Statistics & Data Analysis • 2005
View 10 Excerpts
Highly Influenced

The numerical accuracy of statistical calculations in Excel 2000 and Minitab Version 13

Association, Alexandria, T. VA. Dielman
Comment on McCullough, B.D., • 2001
View 3 Excerpts
Highly Influenced

A review of TESTU 01

B. D. McCullough, B. Wilson
2006

On the accuracy of statistical procedures in Microsoft Excel

B. D. 713–721. McCullough, B. Wilson
Comput. Statist. Data Anal • 2005

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