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A New Class of Second-Order Response Surface Designs
IEEE Access, 2020 Response surface methodology (RSM) refers to experimental designs for optimizing or developing processes, initially in manufacturing. In this paper, a new method is presented and an algorithm is implemented that modifies the axial part in a central ...
Hleil Alrweili +2 more
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Response-Surface Methods in R, Using rsm [PDF]
Journal of Statistical Software, 2009 This article describes the recent package rsm, which was designed to provide R support for standard response-surface methods. Functions are provided to generate central-composite and Box-Behnken designs.
Russell V. Lenth
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Further considerations in A-optimal second-order response surface designs
Kuwait Journal of Science, 2023 Second-order design of experiments over hypercubic regions is under consideration for the set -up in which the experimenters’ main interest is in estimation of parameters corresponding to higher-order terms of the model.
Bashayer Y. AlKandari +2 more
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Robustness of sequential third-order response surface design to missing observations
Journal of Taibah University for Science, 2022 Response surface designs are generally used in process/product optimization studies. Sequential third-order response surface designs are advantageous when the experimenter encounters the significance of lack of fit of a fitted second-order model while ...
Hemavathi M. +6 more
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Mathematics, 2022 G-optimal designs are those which minimize the worst-case prediction variance. Thus, such designs are of interest if prediction is a primary component of the post-experiment analysis and decision making. G-optimal designs have not attained widespread use
Stephen J. Walsh, John J. Borkowski
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Statistical Design of Experiments: An introductory case study for polymer composites manufacturing applications [PDF]
MATEC Web of Conferences, 2021 Statistical design of experiments (DoE) aims to develop a near efficient design while minimising the number of experiments required. This is an optimal approach especially when there is a need to investigate multiple variables.
Botha Natasha +3 more
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Modified non-sequential third order rotatable designs constructed using Pairwise Balanced Design
Statistical Theory and Related Fields, 2021 The technique of fitting a response surface design is useful in modelling of experimental designs. Response surface is used in situations where the response of interest is influenced by several experimental variables.
Haron Mutai Ng’eno
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A weighted D-optimality criterion for constructing model-robust designs in the presence of block effects [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 It is generally known that blocking can reduce unexplained variation, and in response surface designs block sizes can be pre-specified. This paper proposes a novel way of weighting D-optimality criteria obtained from all possible models to construct ...
Peang-or Yeesa +2 more
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Water Science and Technology, 2023 Using periwinkle shell ash (PSA) and polystyrene (PS), a new-fangled PSA@PS-TiO2 photocatalyst was fabricated. The morphological images of all the samples studied using a high-resolution transmission electron microscope (HR-TEM) showed a size ...
Amarachi Udoka Nkwoada +3 more
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A Joint Multiresponse Split-Plot Modeling and Optimization Including Fixed and Random Effects
Austrian Journal of Statistics, 2022 This paper deals with a proposal for joint modeling and process optimization for split-plot designs analyzed through mixed response surface models. It addresses the following main issues: i) the building of a joint mixed response surface model for a ...
Rossella Berni +1 more
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