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SUMMARY:Experimental designs for estimating variance components - Donev\, 
 A (Manchester)
DTSTART:20110809T104500Z
DTEND:20110809T113000Z
UID:TALK32310@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Many experiments are designed to estimate as precise as possib
 le the fixed parameters in the required models. For example\, D-optimum de
 signs ensure that the volume of the confidence ellipsoid for these paramet
 ers is minimized. In some cases\, only some of the fixed parameters are of
  interest. DS-optimality is then required. However\, little attention has 
 been given to the accuracy of the estimation of the variance components in
  the models\, while they are very important for the interpretation of the 
 results and in some cases it is their estimation that is the reason for th
 e studies to be carried out.  We give examples of such studies and focus o
 n the design of experiments where only the variance components are importa
 nt. The resulting DV-optimum designs are useful to use in crossed or split
 -plot validation experiments where fixed effects can be regarded as nuisan
 ce parameters. We conclude with some considerations about the implications
  of our results on the design of experiments where both the fixed paramete
 rs and the variance components are important.\n
LOCATION:Seminar Room 1\, Newton Institute
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