Results 11 to 20 of about 621,908 (253)
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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The Effect of Paclobutrazol Concentrations in Different Shade Levels on Coleus Plant Leaves Color
Jurnal Teknik Pertanian Lampung, 2022 Coleus scutellarioides is a leaf ornamental plant that is widely used as an ornamental plant in tourist attractions because it has an interesting leaf color.
Maretha Widhya Aulyaa Gusmawan +2 more
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Improvements in the processing of agricultural commodities: The case of cocoa liquor
Dyna, 2017 The solidification of the cocoa liquor is one of the most important steps for processing cocoa cultivars. This process is typically characterized as a continuous process, which may become a barrier for the randomization of the applied data treatments ...
Diego Castro-Fettermann +4 more
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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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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 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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Improved Split-Plot and Multistratum Designs [PDF]
Technometrics, 2015 Many industrial experiments involve some factors whose levels are harder to set than others. The best way to deal with these is to plan the experiment carefully as a split-plot, or more generally a multistratum, design. Several different approaches for constructing split-plot type response surface designs have been proposed in the literature since 2001,
Luzia A. Trinca, Steven G. Gilmour
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Effect of Irrigation Intervals and Foliar Applications with Some Nano-Fertilizers on Growth and Productivity of Globe Artichoke Plant: A-Vegetative Growth and Chemical Content in Leaves [PDF]
Journal of Plant Production, 2021 Two field experiments were conducted at Baramoon Research Station, Mansoura, Dakahlia Governorate, Egypt, during the two seasons of 2017-2018 and 2018-2019, to investigate the effect of irrigation intervals and foliar application with nano potassium and
A. Y. El-Adawy +2 more
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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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Applied SciencesConsiderable effort has been put over the last few decades into clarifying the correct design and analysis of split-plot factorial experiments. However, the information found in the literature is scattered and sometimes still not easy to grasp for non ...
Ioanna Teknetzi +2 more
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