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Pro-Tumorigenic Effect of Continuous Cromolyn Treatment in Bladder Cancer. [PDF]
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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 +2 more
exaly +3 more sources
, 2007 Split-plot designs are nested designs that are frequently used in industrial experimentation and result in correlated observations. A correct analysis of the data from split-plot designs takes account of the correlation. However, as split-plot designs are often used inadvertently, the typical split-plot correlation structure is not recognized in many ...
Andrew J. H. Davey, C. Patrick Doncaster
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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,"..
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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 ...
Kent M. Eskridge +2 more
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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 ...
Graham R. Wood, David J. Saville
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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 ...
Graham R. Wood, David J. Saville
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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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Statistics & Probability Letters, 1984
Abstract We propose an incomplete split plot design where levels of one factor (say A) are applied to the wholeplots and levels of the other (say B) to subplots, and where the number of subplots in each wholeplot may be less than the number of levels of factor B. The t levels of factor A are arranged in a completely randomized design.
Iwona Mejza, Stanisław Mejza
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Abstract We propose an incomplete split plot design where levels of one factor (say A) are applied to the wholeplots and levels of the other (say B) to subplots, and where the number of subplots in each wholeplot may be less than the number of levels of factor B. The t levels of factor A are arranged in a completely randomized design.
Iwona Mejza, Stanisław Mejza
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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 M. 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 M. Dean +2 more
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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.
Christine M. Anderson-Cook +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.
Christine M. Anderson-Cook +3 more
openaire +2 more sources