Results 11 to 20 of about 1,694 (248)
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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Blocking response surface designs [PDF]
Computational Statistics & Data Analysis, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peter Goos, Alexander N. Donev
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Sequential Design for Ranking Response Surfaces [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2017 We propose and analyze sequential design methods for the problem of ranking several response surfaces. Namely, given $L \ge 2$ response surfaces over a continuous input space $\cal X$, the aim is to efficiently find the index of the minimal response across the entire $\cal X$.
Ruimeng Hu, Mike Ludkovski
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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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Response surface methodology (RSM): An overview to analyze multivariate data
Indian Journal of Microbiology Research, 2023 In recent years, the fascinating range of Response surface methodology (RSM) applications has captured the interest of many researchers and engineers worldwide.
Rupak Kumar, Meega Reji
semanticscholar +1 more source
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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Response Surface Methodology to Efficiently Optimize Intracellular Delivery by Photoporation
International Journal of Molecular Sciences, 2023 Photoporation is an up-and-coming technology for the gentle and efficient transfection of cells. Inherent to the application of photoporation is the optimization of several process parameters, such as laser fluence and sensitizing particle concentration,
I. Goemaere +8 more
semanticscholar +1 more source
Advances on aerodynamic actuation induced by surface dielectric barrier discharges
Frontiers in Physics, 2022 Surface Dielectric Barrier Discharge (SDBD) is a well-known technology for active aerodynamic flow control with low power consumption. It is a type of plasma actuation for flow control with no moving parts and very fast response times.
Sherlie Portugal +6 more
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