Abstract
We consider the problem of constructing D-optimal designs with covariates that are fixed and specified in advance. Specifically, we present methods for computing (truncated) optimal designs when nuisance parameters exist and interest focuses on a subset of the parameters in a linear model. Relationships between truncated optimal designs and optimal designs when nuisance parameters do not exist are characterized.
Original language | English (US) |
---|---|
Pages (from-to) | 203-212 |
Number of pages | 10 |
Journal | Journal of Statistical Planning and Inference |
Volume | 22 |
Issue number | 2 |
DOIs | |
State | Published - Jun 1989 |
Keywords
- Additive models
- D-optimality
- constrained optimal design
- marginally restricted designs
- nuisance parameters
- truncated optimal design