Trellis plots as visual aids for analyzing split plot experiments. Issue Volume 29:Issues 2(2017) (3rd April 2017)

• Record Type: Journal Article
• Authors: Kulahci, Murat; Menon, Anil
• Is Part Of: Quality engineering. Volume 29:Issues 2(2017)
• Page Start: 211
• Page End: 225
• Publication Date: 2017-04-03
• Subjects: graphical tools -- preliminary data analysis -- process understanding -- restriction on randomization -- split-plot designs; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2016.1243248
• Languages: English
• ISSNs: 0898-2112

Abstract

ABSTRACT: The analysis of split plot experiments can be challenging due to a complicated error structure resulting from restrictions on complete randomization. Similarly, standard visualization methods do not provide the insight practitioners desire to understand the data, think of explanations, generate hypotheses, build models, or decide on next steps. This article demonstrates the effective use of trellis plots in the preliminary data analysis for split plot experiments to address this problem. Trellis displays help to visualize multivariate data by allowing for conditioning in a general way. They can also be used after the statistical analysis for verification, clarification, and communication.