2 citations · 2 across the 3 of their papers we have counts for
3 papers
Estimation and variable selection in joint mean and dispersion models applied to mixture experiments
Edmilson Rodrigues Pinto, Leandro Alves Pereira
In industrial experiments, controlling variability is of paramount importance to ensure product quality. Classical regression models for mixture experiments are widely used in indu…
On variable selection in joint modeling of mean and dispersion
Edmilson Rodrigues Pinto, Leandro Alves Pereira
The joint modeling of mean and dispersion (JMMD) provides an efficient method to obtain useful models for the mean and dispersion, especially in problems of robust design experimen…
On modeling of variability in mixture experiments with noise variables
Edmilson Rodrigues Pinto, Leandro Alves Pereira, Aurélia Aparecida de Araújo Rodrigues
In mixture experiments with noise variables or process variables that can not be controlled, investigate and try to control the variability of the response variable is very importa…