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Field scale responses of soil enzymatic activities and microbial indicators to combined bioinoculant-fertilizer management in mustard (Brassica juncea L.). [PDF]
Sci RepSingh RK +9 more
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Response surface modeling and correlation analyses of mechanical and non-destructive properties in graphene-date palm fiber reinforced concrete. [PDF]
Sci RepAbdou Elabbasy AA +4 more
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Generalization of long-range machine learning potentials in complex chemical spaces.
Digit DiscovSanocki M, Zavadlav J.
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Journal of Quality Technology, 1973
The nature and uses of the split-plot design are discussed. An initial section reviews models and least squares to establish a point of view. The major section presents the development of a simple split-plot design by a process of "evolution,"..
exaly +2 more sources
The nature and uses of the split-plot design are discussed. An initial section reviews models and least squares to establish a point of view. The major section presents the development of a simple split-plot design by a process of "evolution,"..
exaly +2 more sources
Fraction of Design Space Plots for Split-plot Designs
Quality and Reliability Engineering International, 2006AbstractIn industrial experiments, restrictions on the execution of the experimental runs or the existence of one or more hard‐to‐change factors often leads to split‐plot experiments, where there are two types of experimental units and two independent randomizations.
Christine M Anderson-Cook +1 more
exaly +2 more sources
Quality and Reliability Engineering International, 2007
AbstractIn many experimental situations, practitioners are confronted with costly, time consuming, or hard‐to‐change (HTC) factors. These practical or economic restrictions on randomization can be accommodated with a split‐plot design structure that minimizes the manipulation of the HTC factors.
Peter A. Parker +3 more
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AbstractIn many experimental situations, practitioners are confronted with costly, time consuming, or hard‐to‐change (HTC) factors. These practical or economic restrictions on randomization can be accommodated with a split‐plot design structure that minimizes the manipulation of the HTC factors.
Peter A. Parker +3 more
openaire +1 more source
Biometrics, 1967
A split plot design for the factorial treatment combinations of factors A and B with t and s levels respectively, consists of wholeplots made up of s subplots or experimental units with each level of A applied to r wholeplots and the levels of B applied to the s subplots within each wholeplot.
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A split plot design for the factorial treatment combinations of factors A and B with t and s levels respectively, consists of wholeplots made up of s subplots or experimental units with each level of A applied to r wholeplots and the levels of B applied to the s subplots within each wholeplot.
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1991
Here we introduce the simplest “hierarchical” design, the split plot design. This design has two error terms, corresponding to a subdivision of the error space into two orthogonal subspaces. Studies employing this design have (at least) two treatment factors; the effects of one factor, however, are estimated more accurately than the effects of the ...
David J. Saville, Graham R. Wood
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Here we introduce the simplest “hierarchical” design, the split plot design. This design has two error terms, corresponding to a subdivision of the error space into two orthogonal subspaces. Studies employing this design have (at least) two treatment factors; the effects of one factor, however, are estimated more accurately than the effects of the ...
David J. Saville, Graham R. Wood
openaire +1 more source
Supersaturated Split-Plot Designs
Journal of Quality Technology, 2013Methods to construct supersaturated split-plot designs (SSSPDs) are presented. The authors use an E(s²)-optimal supersaturated design (SSD) in the whole-plot and half fractions of Plackett-Burman designs (PBDs) in the split plot. It is shown that (1) the resulting split-plot design has orthogonal columns, (2) the split-plot columns are orthogonal to ...
Woon Yuen Koh +2 more
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2017
When the levels of some treatment factors are more difficult to change during the experiment than those of others, split-plot designs are necessary. In a split-plot design, the experimental units are called split plots, and are nested within whole plots, which themselves may or may not be nested within blocks. The split plots within each whole plot are
Angela Dean +2 more
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When the levels of some treatment factors are more difficult to change during the experiment than those of others, split-plot designs are necessary. In a split-plot design, the experimental units are called split plots, and are nested within whole plots, which themselves may or may not be nested within blocks. The split plots within each whole plot are
Angela Dean +2 more
openaire +1 more source