In the classical theory of locally optimal designs, which is developed within the framework of
the center+ error model, the most efficient design is the one based on MGLE, the maximum …

In this paper, we developed D-optimal design in linear model with two explanatory variables
in the presence of heteroscedasticity. A sequential method of getting D-optimal design was …

Parameterizing equations of state is often a compromise between minimizing experimental
effort and maximizing accuracy of the calculated thermodynamic properties. Parameter …

Los diseños óptimos son utilizados para determinar las mejores condiciones donde se debe
realizar un experimento para obtener ciertas propiedades estadísticas. En los modelos no …

Optimal designs are used to determine the best conditions where an experiment should be
performed to obtain certain statistical properties. In heteroscedastic nonlinear models where …

In real life situations, the assumption of homogeneity is often violated and the variances of
the error terms are not the same, heteroscedastic problem. In this work, D-optimality criterion …