Design and Analysis of Experiments

By Luiz Paulo Lopes Fávero, Patrícia Prado Belfiore. 2001

of substrate modification on wetting and wicking behavior

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Automated Machine Learning: State-of-The-Art and Open Challenges (2019, background): “Given a particular computational budget B, random search tends to find better solutions than grid search [90].”
New improvements in the use of dependence measures for sensitivity analysis and screening (2014, methodology): “[14] When the number of observations and the number of input parameters are of the same order, factorial fractional designs and other popular designs of experiments can be applied.[15] Very recently, the use of Sobol’ indices for sparse problems has been investigated,[16] in a screening framework wh”
Solid Lipid Nanoparticles for Drug Delivery: Pharmacological and Biopharmaceutical Aspects (2020, background): “The presence of interactions among factors and their magnitude can only be studied by means of designs of several crossed factors, such as those mentioned before, being insufficient the individual or univariate optimization of the responses in function of each process attribute or parameter (Montgom”
Effects of Agricultural Cultivation on Demographics of Southern High Plains Amphibians (2004, methodology): “Our experiment was arranged as a three-factor factorial design (Montgomery 2001) in which land use, year, and species captured were crossed-fixed effects.”
Machinability investigations on hardened AISI 4340 steel using coated carbide insert (2012, methodology): “The effects of process parameters on machinability are tested through a set of planned experiments based on full factorial design (FFD) to explore the quadratic response surface [56].”
Novel adsorbent from agricultural waste (cashew NUT shell) for methylene blue dye removal: Optimization by response surface methodology (2015, background): “In general, the larger the magnitude of t and smaller the value of P, the more significant is the corresponding coefficient term [75].”
A Survey of Automatic Parameter Tuning Methods for Metaheuristics (2020, methodology): “In [60], the so-called Resolution IV Design [57] was used to separate the main effects and interactions of parameters.”
Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory (2015, methodology): “Table 4 shows the design of experiments (Montgomery 2001) along with the response mean values and S/N ratio.”
Gluten-free Bread Based on Tapioca Starch: Texture and Sensory Studies (2012, methodology): “In the Response Surface Method, the experiment is designed to estimate interaction and even quadratic effects of factors and to obtain an optimal response (Montgomery 1997; Khuri and Cornell 1996).”
An algorithm for fast optimal Latin hypercube design of experiments (2010, background): “However, there has been little research on how to employ this statistic for improving DOE and not just for identifying the directionality in an existing DOE, the directionality statistic was not employed to improve existing DOE in this paper.”
Optimizing bioconversion of deproteinated cheese whey to mycelia of Ganoderma lucidum (2003, methodology): “The central composite in cube (CCC) design [20], which consisted of an orthogonal 2(2) factorial design augmented by a center and 2 /2 axial points (Table 2), was employed in this research.”
Immediate benefits realized following implementation of physician order entry at an academic medical center. (2002, methodology): “(ANOVA) with the length of stay as the dependent variable and the case mix index as the covariate was used to measure the level of significant difference between the means.(15) The graphic representations of length of stay and total costs are acuity adjusted and represent key services in the two ent”
Varied response of marigold (Tagetes spp.) genotypes to inoculation with different arbuscular mycorrhizal fungi (2004, methodology): “Where appropriate, Fisher’s protected LSD tests were used to separate treatment means (Petersen, 1985).”