TY - JOUR
T1 - On the design of experiments in the presence of fixed covariates
AU - Nachtsheim, Christopher J.
PY - 1989/6
Y1 - 1989/6
N2 - 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.
AB - 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.
KW - Additive models
KW - D-optimality
KW - constrained optimal design
KW - marginally restricted designs
KW - nuisance parameters
KW - truncated optimal design
UR - http://www.scopus.com/inward/record.url?scp=38249023486&partnerID=8YFLogxK
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U2 - 10.1016/0378-3758(89)90111-0
DO - 10.1016/0378-3758(89)90111-0
M3 - Article
AN - SCOPUS:38249023486
SN - 0378-3758
VL - 22
SP - 203
EP - 212
JO - Journal of Statistical Planning and Inference
JF - Journal of Statistical Planning and Inference
IS - 2
ER -