D-optimality andD n -optimal designs for mixtures regression models with logarithmic terms
Copyright policy )D-optimality andD n -optimal designs for mixtures regression models with logarithmic terms
Considered are the two logarithmic regression models \[ E(y)=\sum^{q}_{i=1}(\beta_ ix_ i+\gamma_ i \ln x_ i)\quad and\quad E(y)=\sum^{q}_{i=1}(\beta_ ix_ i+\gamma_ i \ln x_ i)+\sum^{q}_{i
- Northeastern University United States
- Northwestern University United States
- Northern Illinois University United States
Optimal statistical designs, mixture experiments, mixture- and boundary-restrictions, logarithmic regression models, Fedorov-Wynn algorithm, mixture regression models, General nonlinear regression, Probabilistic methods, stochastic differential equations, computer search for D-optimal designs
Optimal statistical designs, mixture experiments, mixture- and boundary-restrictions, logarithmic regression models, Fedorov-Wynn algorithm, mixture regression models, General nonlinear regression, Probabilistic methods, stochastic differential equations, computer search for D-optimal designs
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