Algorithmic construction of \(R\)-optimal designs for second-order response surface models
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Publication:313108
DOI10.1016/j.jspi.2016.05.003zbMath1353.62089OpenAlexW2406948335MaRDI QIDQ313108
Rong-Xian Yue, Kashinath Chatterjee, Xin Liu, Jing Xu
Publication date: 9 September 2016
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.2016.05.003
Related Items (5)
R-optimal designs for multi-response regression models with multi-factors ⋮ Elfving's theorem for \(R\)-optimality of experimental designs ⋮ R-optimal designs for multi-factor models with heteroscedastic errors ⋮ \(R\)-optimal designs for trigonometric regression models ⋮ \(R\)-optimality criterion for regression models with asymmetric errors
Cites Work
- A note on \(R\)-optimal designs for multiresponse models
- A note on \(R\)-optimal designs for multi-factor models
- \(E\)-optimal designs for second-order response surface models
- Response surface design evaluation and comparison
- Admissible experimental designs in multiple polynomial regression
- General equivalence theory for optimum designs (approximate theory)
- Comparison of design for quadratic regression of cubes
- Comparison of rotatable designs for regression on balls. I. (quadratic)
- Canonical reduction of second-order fitted models subject to linear restrictions.
- Kiefer ordering of simplex designs for second-degree mixture models with four or more ingredi\-ents.
- \(R\)-optimal designs in random coefficient regression models
- Optimum Designs in Regression Problems
- Optimum Designs in Regression Problems, II
- Efficiencies of Rounded Optimal Approximate Designs for Small Samples
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