Assessing the reliability of web-based statistical software
type: Item
instance of: scholarly article
title: Assessing the reliability of web-based statistical software
zbMATH Open document ID: 1049.62001
author: A. M. Kitchen
author: R. Drachenberg
author: Jürgen Symanzik
published in: Computational Statistics
publication date: 2004-03-16T00:00:00Z
review text: Performance of freely distributed web-based software packages WebStat and Statlets is compared with performance of SAS, SPSS, SPlus and Microsoft Excel. The base\,10\,log relative error (LRE) is evaluated for these packages on datasets from the Statistical References Datasets Project of American NIST. Algorithms of descriptive statistics, analysis of variance and linear regression are compared. The authors' conclusion is that WebStat is more reliable then Statlets; they both overperforms Microsoft Excel 97 but are less reliable than S-Plus.
Mathematics Subject Classification ID: 62-04
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 2058963
zbMATH Keywords: Statlets
zbMATH Keywords: WebStat
zbMATH Keywords: accuracy
zbMATH Keywords: precision
describes a project that uses: S-PLUS
describes a project that uses: SAS
describes a project that uses: Excel
describes a project that uses: LIMDEP
describes a project that uses: Mathematica
describes a project that uses: SPSS
describes a project that uses: WebStat
MaRDI profile type: Publication
full work available at URL: s001800300134
OpenAlex ID: W2547355177
cites work: Q4219533
cites work: The accuracy of \textit{Mathematica 4} as a statistical package
cites work: On the accuracy of statistical procedures in Microsoft Excel 97.
cites work: Q4496034
cites work: Assessing the accuracy of ANOVA calculations in statistical software
DOI: 10.1007/S001800300134
description: scientific article; zbMATH DE number 2058963