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SUMMARY:New Classes of Second-Order Equivalent-Estimation Split-Plot Desig
 ns - Mylona\, K (Antwerpen)
DTSTART:20110902T090000Z
DTEND:20110902T093000Z
UID:TALK32623@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In many industrial experiments\, complete randomization of the
  runs is impossible as\, often\, they involve factors whose levels are har
 d or costly to change. In such cases\, the split-plot design is a cost-eff
 icient alternative that reduces the number of independent settings of the 
 hard-to-change factors. In general\, the use of generalized least squares 
 is required for model estimation based on data from split-plot designs. Ho
 wever\, the ordinary least squares estimator is equivalent to the generali
 zed least squares estimator for some split-plot designs\, including some s
 econd-order split-plot response surface designs. These designs are called 
 equivalent-estimation designs. An important consequence of the equivalence
  is that basic experimental design software can be used to analyze the dat
 a. We introduce two new families of equivalent-estimation split-plot desig
 ns\, one based on subset designs and another based on a class of rotatable
  response surface designs constructed using supp lementary difference sets
 . The resulting designs complement existing catalogs of equivalent-estimat
 ion designs and allow for a more flexible choice of the number of hard-to-
 change factors\, the number of easy-to-change factors\, the number and siz
 e of whole plots and the total sample size.\n
LOCATION:Seminar Room 1\, Newton Institute
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