Bridge Designs for Modeling Systems with Small Error Variance
Seminar Room 1, Newton Institute
AbstractA necessary characteristic of designs for deterministic computer simulations is that they avoid replication. This characteristic is also necessary for one-dimensional projections of the design, since it may turn out that only one of the design factors has any non-negligible effect on the response. Latin Hypercube designs have uniform one-dimensional projections 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 points in any one-dimensional projection. Subject to this constraint they are D-optimal for any pre-specified model.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.