Article ID Journal Published Year Pages File Type
1149431 Journal of Statistical Planning and Inference 2010 12 Pages PDF
Abstract

Experiments designed to investigate the effect of several factors on a process have wide application in modern industrial and scientific research. Response surface designs allow the researcher to model the effects of the input variables on the response of the process. Missing observations can make the results of a response surface experiment quite misleading, especially in the case of one-off experiments or high cost experiments. Designs robust to missing observations can attract the user since they are comparatively more reliable. Subset designs are studied for their robustness to missing observations in different experimental regions. The robustness of subset designs is also improved for multiple levels by using the minimax loss criterion.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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