Results 11 to 20 of about 957,176 (200)
Split-plot designs: What, why, and how [PDF]
, 2009 The past decade has seen rapid advances in the development of new methods for the design and analysis of split-plot experiments. Unfortunately, the value of these designs for industrial experimentation has not been fully appreciated.
Bradley Jones, Christopher J. Nachtsheim
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Nonlinear split-plot design modeling and analysis of rice varieties yield
Scientific African, 2023 In this research, a class of nonlinear split plot design models where the mean function of the split-plot model is not linearizable is presented. This was done by fitting intrinsically nonlinear split-plot design (INSPD) models using the Chapman-Richards
I.J. David, O.E. Asiribo, H.G. Dikko
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Journal of Applied Sciences and Environmental Management, 2021 The trace (A), maximum average prediction variance (G), and integrated average prediction variance (V) criteria are experimental design evaluation criteria, which are based on precision of estimates of parameters and responses. Central Composite Designs(
Y. Yakubu, A.U. Chukwu
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Health Technology Assessment, 2018 Background: Periodontal disease is preventable but remains the most common oral disease worldwide, with major health and economic implications. Stakeholders lack reliable evidence of the relative clinical effectiveness and cost-effectiveness of different
Craig R Ramsay +24 more
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Split-Plot Central Composite Designs Robust to a Pair of Missing Observations
Journal of Applied Sciences and Environmental Management, 2018 This study constructs robust split-plot central composite designs against missing pairs of observations. Split-plot central composite designs (CCD) consist of factorial (f), whole-plot axial (α), subplot axial (β), and center (c) points. A loss function
Y. Yakubu, AU Chukwu
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Journal of Biological Research, 2020 Two consecutive field experiments were conducted during the period from October 2013 and 2014 to April 2014 and 2015 to show the effect of split application of nitrogen (SN) and boron (B) on hybrid TPS.
Rajesh Chakraborty
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Evaluation of Textile Wastewater Treatment Using Combined Methods: Factor Optimization via Split Plot RSM [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2022 The increase in the consumption of textile products as well as the use of dye compounds has increased the pollution of the effluent in these industries. Discharge of this wastewater without proper treatment can cause groundwater pollution, poisoning, and
Asadollah Karimi +2 more
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Aligned Rank Tests for Interactions in Split-Plot Designs: Distributional Assumptions and Stochastic Heterogeneity [PDF]
, 2009 Three aligned rank methods for transforming data from multiple group repeated measures (split-plot) designs are reviewed. Univariate and multivariate statistics for testing the interaction in split-plot designs are elaborated.
Beasley, T. Mark, Zumbo, Bruno D.
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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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Effect of Planting Date, Clipping Height, and Cultivar on Forage and Grain Yield of Winter Wheat in Argentinean Pampas [PDF]
, 2006 In Argentinean Pampas, new wheat (Triticum aestivum L.) cultivars are routinely introduced to farmers for dual-purpose production. The objective of this study was to evaluate the effect of planting date, clipping height on forage, and grain yield for ...
Arroquy, Jose Ignacio +3 more
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