A Graphical Tool for Detection of Outliers in Completely Randomized, Unreplicated 2(k) and 2(k-P) Factorials

作者：Sanders Doug; Hild Cheryl^*

来源：Quality Engineering, 2012, 24(4): 514-521.

DOI：10.1080/08982112.2012.710169

• design of experiments
• DOE
• fractional factorials
• graphical analysis
• outliers
• unreplicated experimentation

With the increased awareness of statistical methods in industry today, many non-statisticians are implementing statistical studies and conducting statistically designed experiments (DOEs). With this increased use of DOEs by non-statisticians in applied settings, there is a need for more graphical methodologies to support both analysis and interpretations of DOE results. In particular, there is a critical need for user-friendly means to investigate outlier effects of noise and active background variables in unreplicated DOEs. This article presents a profoundly simple, yet effective, methodology to identify outliers in unreplicated 2(k) and 2(k-p) factorial designs that integrates well-established, confirmatory statistical techniques with a simple graphical, exploratory tool.

• 出版日期2012