On the design of experiments in the presence of fixed covariates
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.
scientific article; zbMATH DE number 4096618
scientific article