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| Content Provider | Springer Nature Link |
|---|---|
| Author | Mélard, Guy |
| Copyright Year | 2014 |
| Abstract | All previous versions of Microsoft Excel until Excel 2007 have been criticized by statisticians for several reasons, including the accuracy of statistical functions, the properties of the random number generator, the quality of statistical add-ins, the weakness of the Solver for nonlinear regression, and the data graphical representation. Until recently Microsoft did not make an attempt to fix all the errors in Excel and was still marketing a product that contained known errors. We provide an update of these studies given the recent release of Excel 2010 and we have added OpenOffice.org Calc 3.3 and Gnumeric 1.10.16 to the analysis, for the purpose of comparison. The conclusion is that the stream of papers, mainly in Computational Statistics and Data Analysis, has started to pay off: Microsoft has partially improved the statistical aspects of Excel, essentially the statistical functions and the random number generator. |
| Starting Page | 1095 |
| Ending Page | 1128 |
| Page Count | 34 |
| File Format | |
| ISSN | 09434062 |
| Journal | Computational Statistics |
| Volume Number | 29 |
| Issue Number | 5 |
| e-ISSN | 16139658 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2014-04-10 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Statistical function Random number generator Nonlinear regression OpenOffice.org Calc 3.3 Gnumeric Statistics Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Economic Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty Computational Mathematics |
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