Effects of noise in performance comparisons of designs for model identification and discrimina\-tion

DOI10.1016/j.jspi.2007.04.006zbMath1124.62046OpenAlexW2081254162MaRDI QIDQ2455409

Ying Luan, Hongjie Deng, Subir Ghosh

Publication date: 24 October 2007

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2007.04.006

zbMATH Keywords

powerlinear modelsmean square error\(p\)-valueerrorinteraction effectstest of hypothesisclass of modelsfractional factorial plans

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Factorial statistical designs (62K15) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

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• Searching probabilities for nonzero effects in search designs for the noisy case
• Model-oriented design of experiments
• Comparisons of search designs using search probabilities
• Optimum two level fractional factorial plans for model identification and discrimination
• The design of experiments for discriminating between two rival models
• An efficient design for model discrimination and parameter estimation in linear models
• A comparison of sequential and non-sequential designs for discrimination between nested regression models

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