Mixture experiments with process variables: d-optimal orthogonal experimental designs

DOI10.1080/03610928808829613zbMath0641.62046OpenAlexW1983057348MaRDI QIDQ3782619

Veronica Czitrom

Publication date: 1988

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928808829613

zbMATH Keywords

D-optimal designorthogonal blocksBlending experiments

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Statistical block designs (62K10)

Related Items (12)

Optimal designs for experiments with mixtures: a survey ⋮ On missing random effects in machine learning ⋮ A new model and class of designs for mixture experiments with process variables ⋮ Experimental design for four mixture components with process variables ⋮ Design and analysis of mixture experiments with process variable ⋮ Orthogonally Blocked Mixture Experiments in Ellipsoidal Restricted Regions ⋮ Optimal orthogonal block designs for a quadratic mixture model for three components ⋮ Optimal designs in \((q-1)\) orthogonal blocks for Darroch and Waller's quadratic mixture model in \(q\) components ⋮ Orthogonal block designs in two blocks for second degree K-model ⋮ Nearly optimal orthogonally blocked desings for a quadratic mixture model withqcomponents ⋮ Optimal orthogonal block designs for four-mixture components in two blocks based on F-squares for Becker's models and K-model ⋮ Optimal orthogonal designs in two blocks for Becker's mixture models in three and four components.

Cites Work

• Unnamed Item
• Multi-Factor Experimental Designs for Exploring Response Surfaces
• Designs for Mixture Experiments Involving Process Variables
• Block Designs for Mixture Experiments

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