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The design and analysis of experiments.
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The small-study effect in educational trials
TL;DR: The small-study effect refers to the observation that effect sizes from initial small-scale trials tend to be higher than those obtained from larger trials, and it is suggested that this result can be mistaken for the ‘file drawer problem’ in meta-analysis.
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Understanding multistage experiments
Chumpol Yuangyai,Dennis K.J. Lin +1 more
TL;DR: In this paper, the authors demonstrate and summarise how split plot design and its variants have been used for multistage experimentation, and present several multi-stage experiment scenarios with comments for practitioners and researchers.
Journal ArticleDOI
A Multi-Year, Stochastic, Farm Simulation Model for Northern Nigeria: An Experimental Design Approach
TL;DR: In this article, the authors illustrate the use of experimental design in a recent farming systems simulation study of traditional smallholder agriculture in northern Nigeria, and highlight the usefulness of simulation models for farm level analysis.
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ZnO/Mg-Al Layered Double Hydroxides as a Photocatalytic Bleaching of Methylene Orange - A Black Box Modeling by Artificial Neural Network
Seyed Ali Hosseini,Mansor Akbari +1 more
TL;DR: Hosseini et al. as mentioned in this paper reported the development of ZnO-MgAl layered double hydroxides as an adsorbent-photo catalyst to remove the dye pollutants from aqueous solution and the experiments of a photocatalytic study were designed and modeled by response surface methodology (RSM) and artificial neural network (ANN).
Steady-state soil organic matter approximation model: application to the Pasture Simulation Model
TL;DR: In this article, the authors evaluate the use of linear and quadratic regression models, as an alternative way to initialize such models, and demonstrate the feasibility of approximating steady state SOM (Soil Organic Matter) by a Quadratic Regression.