Mixture models based on homogeneous polynomials
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Publication:1299453
DOI10.1016/S0378-3758(98)00012-3zbMath1054.62574MaRDI QIDQ1299453
Friedrich Pukelsheim, Norman R. Draper
Publication date: 1998
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Kronecker productsynergismsecond-order modelsfirst-order modelsdesigns for mixturesmixture amount modelsScheffé's canonical polynomialthird-order models
Related Items (15)
Invariant symmetric block matrices for the design of mixture experiments ⋮ Optimal designs for second-degree Kronecker model mixture experiments ⋮ Optimal designs for collapsed homogeneous linear model ⋮ Weighted R -efficiency optimal design for experiments with mixture ⋮ Optimum designs for estimation of optimum point under cost constraint ⋮ D-optimal mixture component-amount designs for quadratic and cubic models ⋮ Optimal design for second degree \(K\)-model for mixture experiments based on weighted simplex centroid design ⋮ Optimum designs for optimum mixtures ⋮ Mixture Models Based on Neural Network Averaging ⋮ Nearly Optimal Orthogonally Blocked Designs for Four Mixture Components Based on F-Squares ⋮ Ridge analysis of mixture response surfaces ⋮ Two polynomial representations of experimental design ⋮ Orthogonal block designs in two blocks for second degree K-model ⋮ Kiefer ordering of simplex designs for first- and second-degree mixture models ⋮ Optimal orthogonal block designs for four-mixture components in two blocks based on F-squares for Becker's models and K-model
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