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Analysis of split‐plot designs: an overview and comparison of methods
Author(s) -
Næs T.,
Aastveit A. H.,
Sahni N. S.
Publication year - 2007
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.841
Subject(s) - plot (graphics) , computer science , context (archaeology) , split plot , focus (optics) , data science , data mining , industrial engineering , engineering , statistics , mathematics , randomized block design , paleontology , physics , optics , biology
Abstract Split‐plot designs are frequently needed in practice because of practical limitations and issues related to cost. This imposes extra challenges on the experimenter, both when designing the experiment and when analysing the data, in particular for non‐replicated cases. This paper is an overview and discussion of some of the most important methods for analysing split‐plot data. The focus is on estimation, testing and model validation. Two examples from an industrial context are given to illustrate the most important techniques. Copyright © 2006 John Wiley & Sons, Ltd.