
doi: 10.3934/mbe.2022221
pmid: 35430838
<abstract><p>This paper proposes the D-optimal design for the additive mixture model with two-response, which is linear model with no interaction terms. The optimality was validated by using the general equivalence theorem, and the corresponding weights are found under which additive model satisfies D-optimality. In addition, relevant statistics and graphics are given to illustrate our results.</p></abstract>
d-optimal design, Other natural sciences (mathematical treatment), mixture experiment, multi-response, QA1-939, Linear Models, Optimality conditions for problems involving partial differential equations, D-optimal design, additive model, TP248.13-248.65, Mathematics, Biotechnology
d-optimal design, Other natural sciences (mathematical treatment), mixture experiment, multi-response, QA1-939, Linear Models, Optimality conditions for problems involving partial differential equations, D-optimal design, additive model, TP248.13-248.65, Mathematics, Biotechnology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
