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Response Surface Designs for Experiments in Bioprocessing

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  • Steven G. Gilmour

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  • Steven G. Gilmour, 2006. "Response Surface Designs for Experiments in Bioprocessing," Biometrics, The International Biometric Society, vol. 62(2), pages 323-331, June.
    • Handle: RePEc:bla:biomet:v:62:y:2006:i:2:p:323-331
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00444.x
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    References listed on IDEAS

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    1. S. G. Gilmour & T. J. Ringrose, 1999. "Controlling processes in food technology by simplifying the canonical form of fitted response surfaces," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(1), pages 91-101.
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    Cited by:

    1. Georgiou, Stelios D. & Stylianou, Stella & Aggarwal, Manohar, 2014. "A class of composite designs for response surface methodology," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1124-1133.
    2. da Silva, Marcelo A. & Gilmour, Steven G. & Trinca, Luzia A., 2017. "Factorial and response surface designs robust to missing observations," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 261-272.
    3. Kalliopi Mylona & Harrison Macharia & Peter Goos, 2013. "Three-level equivalent-estimation split-plot designs based on subset and supplementary difference set designs," IISE Transactions, Taylor & Francis Journals, vol. 45(11), pages 1153-1165.
    4. Smucker, Byran J. & Jensen, Willis & Wu, Zichen & Wang, Bo, 2017. "Robustness of classical and optimal designs to missing observations," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 251-260.
    5. Großmann, Heiko & Gilmour, Steven G., 2023. "Partially orthogonal blocked three-level response surface designs," Econometrics and Statistics, Elsevier, vol. 28(C), pages 138-154.

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