Abstract
This paper presents a study of D- and A-optimality of direct sum designs for additive mixture models when the errors are heteroscedastic. Sufficient conditions are given so that D- and A-optimal designs for additive mixture models can be constructed from the D- and A-optimal designs for homogeneous models in sub-mixture systems.
Original language | English |
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Pages (from-to) | 6401-6411 |
Number of pages | 11 |
Journal | Communications in Statistics - Theory and Methods |
Volume | 46 |
Issue number | 13 |
Early online date | 2 Mar 2017 |
DOIs | |
Publication status | Published - 3 Jul 2017 |
Scopus Subject Areas
- Statistics and Probability
User-Defined Keywords
- A-optimality
- additive mixture models
- D-optimality
- direct sum design
- heteroscedasticity
- mixture experiments