| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10525226 | Journal of Statistical Planning and Inference | 2005 | 9 Pages |
Abstract
This paper considers the construction of D-optimum designs for Kronecker product and additive regression models when the errors are heteroscedastic. Sufficient conditions are given so that D-optimum designs for the multi-factor models can be built from D-optimum designs for their sub-models with a single factor. A robustness study is included to investigate how design efficiencies change when the efficiency functions are miss-specified.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
C. RodrıÌguez, I. Ortiz,