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Optimal split‐plot orthogonal arrays

open access: yesAustralian & New Zealand Journal of Statistics, 2017
SummaryIt 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
openaire   +3 more sources
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The Split-Plot Design

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

A Split-Plot Experiment with Factor-Dependent Whole-Plot Sizes [PDF]

open access: yesJournal of Quality Technology, 2011
Problem: The dairy company FrieslandCampina had an opportunity to redesign the production process for its coffee cream. This product has a very specific viscosity, and the redesigned process had to result in the same viscosity as the old one. Approach: For an effective redesign, the investigators wanted to obtain a simple model linking the settings of ...
SCHOEN, Eric D.   +2 more
openaire   +5 more sources

A Permutation Approach to Split-Plot Experiments

open access: yesCommunications in Statistics - Simulation and Computation, 2013
Split-plot design may be refer to a common experimental setting where a particular type of restricted randomization has occurred during a planned experiment. The aim of this article is to suggest a new method to perform inference on split-plot experiments by combination-based permutation tests.
CORAIN, LIVIO   +2 more
openaire   +3 more sources

Split-plot designs: discussion and examples

International Journal of Quality Engineering and Technology, 2010
Split-plot designs and the appropriate statistical analysis of the resulting data are frequently misunderstood by industrial experimenters. The objective of this tutorial paper is to review split-plot designs for full and fractional factorial experiments, explain why they often arise in industrial experiments, and provide several illustrative examples.
Johannes Ledolter
exaly   +3 more sources

Robust split‐plot designs

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
openaire   +1 more source

Fraction of Design Space Plots for Split‐plot Designs

Quality and Reliability Engineering International, 2006
AbstractIn 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.
Li Liang 0002   +2 more
openaire   +1 more source

Split-Plot and Split-Block Designs

2020
Split-plot and Split-block designs belong to a class of designs in which the inter-block information is utilized fully. These designs arose from agricultural experiments where there is a necessity to consider plots of different sizes, as plots of comparable sizes may not be available.
N. R. Mohan Madhyastha   +2 more
openaire   +1 more source

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