Results 141 to 150 of about 240,361 (182)
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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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Optimal split‐plot orthogonal arrays
Australian & New Zealand Journal of Statistics, 2017SummaryIt is well known that many industrial experiments have split‐plot structures. Compared to completely randomised experiments, split‐plot designs are more economical and thus have received much attention among researchers. Much work has been done for two‐level split‐plot designs.
Yang, Po, Lin, Chang-Yun
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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 ...
Woon Yuen Koh +2 more
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Statistics & Probability Letters, 1984
This paper deals with the analysis of split plot designs in which the number of sub-plots within the whole plot is less than the levels of the factors attached to the sub-plots. This is a particular case of incomplete block designs. The analysis is based on the generalized least squares theory.
Mejza, Iwona, Mejza, Stanisław
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This paper deals with the analysis of split plot designs in which the number of sub-plots within the whole plot is less than the levels of the factors attached to the sub-plots. This is a particular case of incomplete block designs. The analysis is based on the generalized least squares theory.
Mejza, Iwona, Mejza, Stanisław
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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.
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
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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
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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
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2020
oz DENGESİZ BÖLÜNMÜŞ PARSELLER DENEY DÜZENLERİ Oral, Ece Yüksek Lisans, İstatistik Bölümü Tez Yöneticisi: Yrd. Doç. Dr. Bilgehan Güven Eylül 2000, 104 sayfa Tam rasgelelik çok pahalı olduğu gibi pratik de değildir. Tam rasgelelik üzerindeki bu kısıtlar (pahalılık, pratiklilik), bölünmüş parseller deney düzeni olarak adlandırılan bir düzen ile ele ...
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oz DENGESİZ BÖLÜNMÜŞ PARSELLER DENEY DÜZENLERİ Oral, Ece Yüksek Lisans, İstatistik Bölümü Tez Yöneticisi: Yrd. Doç. Dr. Bilgehan Güven Eylül 2000, 104 sayfa Tam rasgelelik çok pahalı olduğu gibi pratik de değildir. Tam rasgelelik üzerindeki bu kısıtlar (pahalılık, pratiklilik), bölünmüş parseller deney düzeni olarak adlandırılan bir düzen ile ele ...
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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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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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Augmented Split Plot Experiment Design
Journal of Crop Improvement, 2006A new class of augmented experiment designs is introduced. This is a follow-up on the 2005 paper by the author on augmented split block experiment designs. The designs are presented to expand the possibilities for experimenters for use in screening untested or partially screened material. These designs allow testing of new treatments over other factors,
Walter T. Fédérer, Florio O. Arguillas
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