Why Write Statistical Software? The Case of Robust Statistical Methods

  • Stromberg A
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Robust statistical methods are designed to work well when classical assumptions, typically normality and/or the lack of outliers, are violated. Almost everyone agrees on the value of robust statistical pro-cedures. Nonetheless, after more than 40 years and thousands of papers, few robust methods were available in standard statistical software pack-ages until very recently. This paper argues that one of the primary reasons for the lack of ro-bust statistical methods in standard statistical software packages is the fact that few developers of statistical methods are willing to write user-friendly and readable software for the methods they develop, regardless of the usefulness of the method. Recent changes in academic statistics make it highly desirable for all developers of statistical methods to pro-vide usable code for their statistical methods.




Stromberg, A. J. (2015). Why Write Statistical Software? The Case of Robust Statistical Methods. Journal of Statistical Software, 10(5). https://doi.org/10.18637/jss.v010.i05

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