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    A Compromise Experimental Design Method for Parametric Polynomial Response Surface Approximations

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    Date
    2006
    Author
    George, Pradeep
    Ogot, Madara
    Type
    Article; en
    Language
    en
    Metadata
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    Abstract
    This study presents a compromise approach to augmentation of experimental designs, necessitated by the expense of performing each experiment (computational or physical), that yields higher quality parametric polynomial response surface approximations than traditional augmentation. Based on the D-optimality criterion as a measure of experimental design quality, the method simultaneously considers several polynomial models during the experimental design, resulting in good quality designs for all models under consideration, as opposed to good quality designs only for lower-order models, as in the case of traditional augmentation. Several numerical examples and an engineering example are presented to illustrate the efficacy of the approach.
    URI
    http://www.tandfonline.com/doi/abs/10.1080/02664760600746533#.VZqmEka0dco
    http://hdl.handle.net/11295/86497
    Citation
    Journal of Applied Statistics Volume 33, Issue 10, 2006
    Subject
    Response surface method
    Surrogate models
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    • Faculty of Engineering, Built Environment & Design (FEng / FBD) [1465]

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