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D-optimal design for estimation of optimum mixture in a three-component mixture experiment with two responses

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TLDR
In this article, the primary response function was assumed to be quadratic in the mixing proportions, while the secondary response function is assumed to have a non-quadratic response function.
Abstract
The paper studies a mixture experiment with two responses – a primary response and a secondary response. The primary response function is assumed to be quadratic in the mixing proportions, while th...

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Citations
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R-optimal designs for linear log contrast model with mixture experiments

TL;DR: In this article , the R-optimality criterion is proposed as an alternative to the most frequently used D-optimal criterion, which can be used in the experimental design when the main objective is to construct a rectangular confidence region.
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Increasing circular and bio-based content of a thermosetting polyurethane for encapsulation of optoelectronic devices: A multivariate investigation

TL;DR: In this paper , a transparent thermosetting polyurethane (PU) with increased circular and bio-based content was developed with an effective and efficient approach based on the Design of Experiment.
References
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Journal ArticleDOI

D-Optimum Designs for Estimating Optimum Points in a Quantitative Multiresponse Experiment:

TL;DR: In this paper, the problem of estimating the optimum factor combinations in a multifactor, multiresponse experiment has been considered, the criterion used is the extended D-optimality criterion.
Journal ArticleDOI

Optimum Designs for Optimum Mixtures in Multiresponse Experiments

TL;DR: An attempt has been made to investigate optimum designs for estimating optimum mixing proportions in a multiresponse mixture experiment.
Journal Article

Optimal Designs for Estimation of Optimum Mixtures and Optimum Amount in a Multiresponse Mixture Experiment

TL;DR: In this paper, the pseudo-Bayesian approach has been used to investigate optimum designs for estimating optimum mixing proportions and also the optimum amount of mixture in a multi-response experiment, and the support points of the optimum design are found to be the union of the supporting points of a weighted centroid and a three-point symmetric design, with support points at the two extremes and one at the centre.
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