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In addition, suitable strategies for performing multivariate design are presented and discussed.
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Thereby, a one-factorial multivariate design was used (computer-controlled vs. human-controlled opponent).
In the second stage, a multivariate design was constructed to relate the synthesis variables with the maximum absorbance wavelengths, which allowed for predictions of the diameters of the CdTe quantum dots, which were compared with direct measurements of the particles analyzed by high-resolution transmission electron microscopy, HR-TEM and X-ray diffraction, XRD.
[ 21] The simple multivariate design is shown in Figure 8.
Multivariate designs were performed to evaluate the variables and optimize the best condition of chemical vapor generation (CVG) and simultaneous determination of mercury and selenium by AFS.
The main experimental designs, such as two level factorial design, central-composite design, Box Behnken design, Doehlert design and mixtures designs are presented and discussed in connection to the method stage, in which multivariate designs were used in the instrumental variable optimization related to plasma, sample decomposition, preconcentration stage and sample introduction technique.
For many complex multivariate designs that are increasingly being employed, power analyses can be difficult to carry out, because the software available lacks sufficient flexibility.
Multivariate experimental design was applied to study the kinetic process.
Multivariate experimental design was applied to the degradation of imipramine solutions under simulated solar irradiation.
Advanced quantitative process development approaches including multivariate experimental design were used, aiming to provide a quantitative and consistent data-set to the scientific community.
In the first part of this study, the multivariate experimental design is carried out using Box Behnken design (BBD).
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