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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 35, 2003 - Issue 1
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Articles

A Comparison of Prediction Variance Criteria for Response Surface Designs

Pages 70-77 | Published online: 16 Feb 2018

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Read on this site (6)

Charity Uchenna Onwuamaeze. (2021) Optimal prediction variance properties of some central composite designs in the hypercube. Communications in Statistics - Theory and Methods 50:8, pages 1911-1924.
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Juntao Fang, Zhen He, Shuguang He & Guodong Wang. (2020) The robustness of response surface designs with errors in factor levels. Communications in Statistics - Theory and Methods 49:10, pages 2365-2383.
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D.R. Jensen & D.E. Ramirez. (2016) Enhanced design efficiency through least upper bounds. Journal of Statistical Computation and Simulation 86:9, pages 1798-1817.
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Wayne R. Wesley, James R. Simpson, Peter A. Parker & Joseph J. Pignatiello$suffix/text()$suffix/text(). (2009) Exact Calculation of Integrated Prediction Variance for Response Surface Designs on Cuboidal and Spherical Regions. Journal of Quality Technology 41:2, pages 165-180.
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Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Connie M. Borror & Scott M. Kowalski. (2004) Response Surface Methodology: A Retrospective and Literature Survey. Journal of Quality Technology 36:1, pages 53-77.
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Articles from other publishers (10)

Wanida Limmun, Boonorm Chomtee & John J. Borkowski. (2023) Generating Robust Optimal Mixture Designs Due to Missing Observation Using a Multi-Objective Genetic Algorithm. Mathematics 11:16, pages 3558.
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Wanida Limmun, Boonorm Chomtee & John J. Borkowski. (2021) Using geometric mean to compute robust mixture designs. Quality and Reliability Engineering International 37:8, pages 3441-3464.
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Akın Özdemir. (2020) D ‐optimal experimental design for production models in nonstandard experiments . Quality and Reliability Engineering International 36:5, pages 1537-1552.
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Akın Özdemir. (2019) A Mixed Integer Linear Programming Model for Finding Optimum Operating Conditions of Experimental Design Variables Using Computer-Aided Optimal Experimental Designs. Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi, pages 551-559.
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Wanida Limmun, Boonorm Chomtee & John Borkowski. (2018) The Construction of a Model-Robust IV-Optimal Mixture Designs Using a Genetic Algorithm. Mathematical and Computational Applications 23:2, pages 25.
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M.S. Sánchez, L.A. Sarabia & M.C. Ortiz. (2012) On the construction of experimental designs for a given task by jointly optimizing several quality criteria: Pareto-optimal experimental designs. Analytica Chimica Acta 754, pages 39-46.
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Adam Pintar, Christine M. Anderson‐Cook & Huaiqing Wu. (2011) Model Selection for Good Estimation and Prediction over a User‐Specified Covariate Distribution for Linear Models under the Frequentist Paradigm. Quality and Reliability Engineering International 28:7, pages 767-782.
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Ming Chen, Cheng Dong Wang, Li Jiang & Qiu Lin Niu. (2012) Experimental Study on Milling Parameters Regression and Optimization of Super High Strength Steel 30CrMnSiNi2A. Materials Science Forum 723, pages 293-298.
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Nam-Ky Nguyen & John J. Borkowski. (2008) New 3-level response surface designs constructed from incomplete block designs. Journal of Statistical Planning and Inference 138:1, pages 294-305.
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Dean Hoskins, Renée C. Turban & Charles J. Colbourn. (2004) Experimental designs in software engineering. Experimental designs in software engineering.

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