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The model for MIXTURE assumes that the marker effects follow a mixture of two normal distributions with similar characteristics as the mixture model in Meuwissen [ 19].
It is shown that for mixture.
We investigate an optimization problem for mixture experiments.
The paper investigates optimal designs in the second-degree Kronecker model for mixture experiments.
These zeolite membranes show excellent separation performance for mixture with a strongly adsorbing component.
To address this, a general modeling framework for mixture design problems is presented.
A fully dynamic model for mixture gas separation is built in Cu-BTC membranes.
Methods for mixture particles imaging are increasingly popular in many fields of engineering research.
All statistical analyses, except for mixture modelling, were performed with STATA/SE 12.0.
The Student t distribution for mixture weights was introduced to achieve sparse basis representation.
The response surfaces were modelled as quadratic and super-cubic polynomials specific for mixture designs.
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