Performance of Three Popular Statistical Softwares in Generating Random Numbers
Random numbers are essential ingredients in a statistical analysis, They can be generated easily through statistical software packages, Each statistical package varies in terms of performance. Our objective is to compare the performances of three statistical software packages, namely R, SAS and...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Institute for Mathematical Research
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/12479/1/artikel_9_vol2_no2.pdf http://psasir.upm.edu.my/id/eprint/12479/ |
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| Summary: | Random numbers are essential ingredients in a statistical
analysis, They can be generated easily through statistical
software packages, Each statistical package varies in
terms of performance. Our objective is to compare the
performances of three statistical software packages,
namely R, SAS and SPSS based on their accurateness
and time consumption in generating and analyzing
random numbers. We obtain some estimated statistics
to assess their accuracies. Comparison of the times in
generating the random numbers is also observed. |
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