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SUMMARY:Bridge Designs for Modeling Systems with Small Error Variance - Jo
 nes\, B (SAS Institute\, Inc.)
DTSTART:20110906T150000Z
DTEND:20110906T153000Z
UID:TALK32673@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:A necessary characteristic of designs for deterministic comput
 er simulations is that they avoid replication. This characteristic is also
  necessary for one-dimensional projections of the design\, since it may tu
 rn out that only one of the design factors has any non-negligible effect o
 n the response. Latin Hypercube designs have uniform one-dimensional proje
 ctions are not efficient for fitting low order polynomials when there is a
  small error variance. D-optimal designs are very efficient for polynomial
  fitting but have substantial replication in projections. We propose a new
  class of designs that bridge the gap between Latin Hypercube designs and 
 D-optimal designs. These designs guarantee a minimum distance between poin
 ts in any one-dimensional projection. Subject to this constraint they are 
 D-optimal for any pre-specified model.\n
LOCATION:Seminar Room 1\, Newton Institute
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