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Analysis Considerations in Industrial Split-Plot Experiments with Non-Normal Responses

Summary: [This abstract is based on the authors' abstract.] When factors exist whose levels are difficult or costly to control, industrial experiments are typically run within a split-plot context. Generalized linear models have been suggested for the analysis of completely randomized designs when the response is non-normal, but a completely randomized design implies that the responses are independent. In split-plot experiments it is assumed that responses within the whole plot are correlated. Generalized linear mixed models (GLMM) are able to account for this correlation during analysis. Two categories of GLMM are investigated and contrasted, using an example from film manufacturing.

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  • Topics: Design of Experiments
  • Keywords: Linear models,Mixture experiments,Non-normality,Response model,Split-plot design
  • Author: Robinson, Timothy J.; Myers, Raymond H.; Montgomery, Douglas C.
  • Journal: Journal of Quality Technology