| Abstract
Robust statistical methods have been available since the 1960s. With advances in hardware and software, the support for using robust statistical methods has been their potential easier to realize. The goal of the paper is to convince the reader that modern statistical methods are reasonable approaches and should be considered a valuable resource in research that can be used alongside more traditional statistical approaches. This paper provides a nontechnical tutorial on robust statistical methods. The term is defined along with examples of its key building blocks including the trimmed mean. Reasons for the underutilization of these methods are also discussed. One factor that has impacted this underuse is the lack of resources and information about these methods. Resources for using these modern approaches are discussed including the R statistical programming language. This paper advocates for the wider use of robust statistical methods. . |
Updated 03/19/2014