Analysis of split‐plot designs: an overview and comparison of methods

Tormod Næs · ARE HALVOR AASTVEIT · Narinder Singh Sahni

42 citations0/0 files storedQuality and Reliability Engineering International

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Optimal Experimental Design Methods Statistical Methods and Applications Statistical Methods and Bayesian Inference

Abstract

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.

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1979Statistics for Experimenters 2000Design and Analysis of Experiments 2018Statistical Methods in Agriculture and Experimental Biology 1989Quick and Easy Analysis of Unreplicated Factorials 1992Split-plot designs for robust product experimentation 1996Response Surface Methods for Bi-Randomization Structures 2001Design Issues in Fractional Factorial Split-Plot Experiments 2000The Design and Analysis of 2k–p× 2q–rSplit Plot Experiments

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