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Journal ArticleDOI

Optimum Mixture Design Using Deficiency Criterion

TLDR
In this paper, the deficiency criterion due to Chatterjee and Mandal (1981) has been used as a measure for comparing the performance of competing mixture models, and the problem of estimating the optimum proportion of mixture components is of great practical importance.
Abstract
In a mixture experiment the measured response is assumed to depend only on the relative proportion of ingredients or components present in the mixture. Scheffe (1958, 1963) first systematically considered this problem and introduced different models and designs suitable in such situations. Optimum designs for the estimation of parameters of different mixture models are available in the literature. The problem of estimating the optimum proportion of mixture components is of great practical importance. Pal and Mandal (2006, 2007) attempted to find a solution to this problem by adopting a pseudo-Bayesian approach and using the trace criterion. Subsequently, Pal and Mandal (2008) solved the problem using minimax criterion. In this article, the deficiency criterion due to Chatterjee and Mandal (1981) has been used as a measure for comparing the performance of competing designs.

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Citations
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Journal ArticleDOI

A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models

TL;DR: A projection based PSO technique is introduced, named ProjPSO, to efficiently find different types of optimal designs, or nearly optimal Designs, for mixture models with and without constraints on the components, and also for related models, like the log contrast models.
Journal ArticleDOI

NiO, Fe2O3, and MoO3 supported over SiO2 nanocatalysts for asphaltene adsorption and catalytic decomposition: Optimization through a simplex–centroid mixture design of experiments

TL;DR: In this paper, the effect of functionalized silica nanoparticles with Fe2O3, NiO, and MoO3 metal oxides on the decomposition of asphaltenes was evaluated through an experimental simplex-centroid mixture design for surface area, adsorption, and activation energy.

Optimum mixture designs under constraints on mixing components

TL;DR: In this article, Mandal et al. derived a pseudo-Bayesian approach with invariance property of the second order moments of the optimum mixing proportions for estimating the optimum proportion of mixture components when the factor space is constrained.
Journal ArticleDOI

Optimum Designs for Parameter Estimation in Linear Mixture Models with Synergistic Effects

TL;DR: In this article, the authors derived optimum designs for parameter estimation in a mixture experiment when the response function is linear in the mixing components with some synergistic effects using the equivalence theorem.
Journal ArticleDOI

Optimum mixture designs in a restricted region

TL;DR: In this paper, an ellipsoidal subspace of the entire factor space which does not cover the vertex points of the simplex is used as a support point of the optimum design.
References
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Journal ArticleDOI

Optimum Designs in Regression Problems

TL;DR: In this paper, the authors consider the problem of finding an optimum design of experiments in regression problems, where the desired inference concerns one of the regression coefficients, and illustrative examples will be given in Section 3.
Journal ArticleDOI

Experiments with Mixtures

TL;DR: Experiments with Mixtures as discussed by the authors is a collection of experiments with mixtures written by J. A. Cornell and published by Wiley, Chichester, 1990. 632 pp.
Journal ArticleDOI

Optimal design: Variation in structure and performance under change of criterion

TL;DR: In this paper, the advisability of comparing designs on the basis of several different criteria of goodness is discussed, including A-, D- and E-optimality, as well as one of Box & Draper.
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