Results 11 to 20 of about 244,658 (298)
Optimal Split-Plot Designs [PDF]
, 2002 Split-plot designs are heavily used in industry, especially when factor levels are difficult or costly to change or to control. This is because this type of design avoids too many changes of the whole plot factor levels, which leads to considerable savings in cost and time. The purpose of this chapter on split-plot designs is twofold.
Goos, Peter +2 more
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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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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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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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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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Scientia Agricola, 1996 O objetivo do presente trabalho foi desenvolver uma metodologia adequada para análise intrablocos de experimentos em parcelas subdivididas quando os tratamentos primários estão dispostos em uma estrutura de delineamento em blocos incompletos parcialmente
A.R. de MORAIS, M.C.S NOGUEIRA
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Effects of Aprons on Pitfall Trap Catches of Carabid Beetles in Forests and Fields [PDF]
, 2017 This study compared the efficacy of three types of pitfall traps in four forest and two field habitats. Two traps had aprons and one did not. The two apron traps were the same except for a gap between the trap and the plywood-apron, allowing captures ...
Epstein, Marc E, Kulman, Herbert M
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Effect of packaging materials and storage environment on fennel seedling growth
Bioscience Journal, 2019 The objective of the present study was to assess the influence of the packaging material (cotton cloth bag, multifolium paper and glass container) and storage environment (laboratory and cold chamber conditions) on fennel seedling growth.
Raquel Fialho Rubim +4 more
doaj +3 more sources