Reducing noise levels in eddy current measurements using self-differential probes of the substrate conductivity under a layer of conductive coating in moved objects [PDF]
Scientific ReportsIn the research, the method of reducing the levels of all noises caused by uncontrollable interfering factors has been generalized and extended to surface eddy current conductivity meters of the substrate under a layer of non-ferromagnetic metal coating.
Volodymyr Ya. Halchenko +2 more
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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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Probabilistic geotechnical designs in rural road infrastructure in Costa Rica [PDF]
MATEC Web of Conferences, 2021 Rural road infrastructure normally lacks information to perform rigorous geotechnical designs, due especially, to budgeting restrictions. Three different transportation projects in rural areas in Costa Rica are presented, where a probabilistic approach ...
Baltodano-Goulding Rafael
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An overview of the BOIN design and its current extensions for novel early-phase oncology trials
Contemporary Clinical Trials Communications, 2022 Bayesian Optimal Interval (BOIN) designs are a class of model-assisted dose-finding designs that can be used in oncology trials to determine the maximum tolerated dose (MTD) of a study drug based on safety or the optimal biological dose (OBD) based on ...
Revathi Ananthakrishnan +5 more
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Empirical Statistical Power for Testing Multilocus Genotypic Effects under Unbalanced Designs Using a Gibbs Sampler [PDF]
Asian-Australasian Journal of Animal Sciences, 2012 Epistasis that may explain a large portion of the phenotypic variation for complex economic traits of animals has been ignored in many genetic association studies.
Chaeyoung Lee
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Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study
IIMB Management Review, 2023 This article investigates the dichotomy between higher statistical power and higher allocation to better treatment in an ethical-optimal response-adaptive design.
L. Ramprasath, Mohammed Shahid Abdulla
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D-Optimal Designs for Binary and Weighted Linear Regression Models: One Design Variable
Mathematics, 2023 D-optimality is a well-known concept in experimental design that seeks to select an optimal set of design points to estimate the unknown parameters of a statistical model with a minimum variance.
Necla Gündüz, Bernard Torsney
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The performance of control charts with economic-statistical design when parameters are estimated [PDF]
Review of Economics and Political Science, 2021 Purpose – This paper presents economic and economic–statistical designs of the adaptive exponentially weighted moving average (AEWMA) control chart for monitoring the process mean. It also aims to compare the effect of estimated process parameters on the
Mahmoud Alsaid +2 more
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Chromatin structure and context-dependent sequence features control prime editing efficiency
Frontiers in Genetics, 2023 Prime editing (PE) is a highly versatile CRISPR–Cas9 genome editing technique. The current constructs, however, have variable efficiency and may require laborious experimental optimization.
Somang Kim +15 more
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Influence of local values on cD-optimal designs for logistic models
TecnoLógicas, 2018 When experiments are designed, it is uncommon to use criteria to determine the treatments and number of replicates that should be conducted to properly estimate the parameters in the model under study.
Víctor Ignacio López-Ríos +1 more
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