Comparing robust properties of A, D, E and G-optimal designs

DOI10.1016/0167-9473(94)90161-9zbMath0825.62646OpenAlexW2148827135MaRDI QIDQ1896196

Yanyan Li

Publication date: 17 August 1995

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://escholarship.org/uc/item/2bz9c0zr

Mathematics Subject Classification ID

Optimal statistical designs (62K05)

Related Items (8)

On \(G\)-efficiency calculation for polynomial models ⋮ Evaluation of orthogonally blocked central composite designs with partial replications ⋮ Design issues for population growth models ⋮ A robust posterior preference multi-response optimization approach in multistage processes ⋮ Robustness properties of \(A\)-,\(D\)-, and \(E\)-optimal designs for polynomial growth models with autocorrelated errors ⋮ A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose ⋮ Highly Efficient Designs to Handle the Incorrect Specification of Linear Mixed Models ⋮ Robust designs for polynomial regression by maximizing a minimum of \(D\)- and \(D_1\)-efficiencies

Cites Work

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• Optimal weights for experimental designs on linearly independent support points
• The Equivalence of Two Extremum Problems
• A unified approach to the construction of minimax designs
• Optimal design: Variation in structure and performance under change of criterion
• Optimal and Efficient Designs of Experiments

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