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Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example

Two-level unreplicated factorial design is very common in manufacturing industries. The design can be used to save cost since it usually needs less experimental run. But, problem appears when the experiment is done without any replication. In such kind of experiment, there are problems in identifyin...

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Main Authors: Fitrianto, Anwar, Haur, Low Chuan
Format: Article
Language:English
Published: Asian Research Publishing Network 2016
Online Access:http://psasir.upm.edu.my/id/eprint/53723/1/Rank%20Order%20Outlier%20%28ROO%29%20plots%20to%20detect%20possible%20outliers%20in%20unreplicated%202k%20completely%20randomized%20factorial%20designs.pdf
http://psasir.upm.edu.my/id/eprint/53723/
http://www.arpnjournals.com/jeas/volume_18_2016.htm
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spelling my.upm.eprints.537232018-01-10T10:12:05Z http://psasir.upm.edu.my/id/eprint/53723/ Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example Fitrianto, Anwar Haur, Low Chuan Two-level unreplicated factorial design is very common in manufacturing industries. The design can be used to save cost since it usually needs less experimental run. But, problem appears when the experiment is done without any replication. In such kind of experiment, there are problems in identifying significant terms as well as to identify possible outlier in the data. This article discusses about the use of Pareto plot to identify significant terms for unreplicated two-level factorial experiments through numerical example. Meanwhile, the numerical example is also used to clearly describe how to create and interpret both Rank Order Outlier (ROO) and iterative ROO plot in identifying possible outlier in the experimental data. Asian Research Publishing Network 2016-09 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53723/1/Rank%20Order%20Outlier%20%28ROO%29%20plots%20to%20detect%20possible%20outliers%20in%20unreplicated%202k%20completely%20randomized%20factorial%20designs.pdf Fitrianto, Anwar and Haur, Low Chuan (2016) Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example. ARPN Journal of Engineering and Applied Sciences, 11 (18). pp. 10775-10779. ISSN 1819-6608 http://www.arpnjournals.com/jeas/volume_18_2016.htm
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Two-level unreplicated factorial design is very common in manufacturing industries. The design can be used to save cost since it usually needs less experimental run. But, problem appears when the experiment is done without any replication. In such kind of experiment, there are problems in identifying significant terms as well as to identify possible outlier in the data. This article discusses about the use of Pareto plot to identify significant terms for unreplicated two-level factorial experiments through numerical example. Meanwhile, the numerical example is also used to clearly describe how to create and interpret both Rank Order Outlier (ROO) and iterative ROO plot in identifying possible outlier in the experimental data.
format Article
author Fitrianto, Anwar
Haur, Low Chuan
spellingShingle Fitrianto, Anwar
Haur, Low Chuan
Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example
author_facet Fitrianto, Anwar
Haur, Low Chuan
author_sort Fitrianto, Anwar
title Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example
title_short Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example
title_full Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example
title_fullStr Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example
title_full_unstemmed Rank order outlier (ROO) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example
title_sort rank order outlier (roo) plots to detect possible outliers in unreplicated 2k completely randomized factorial designs: numerical example
publisher Asian Research Publishing Network
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/53723/1/Rank%20Order%20Outlier%20%28ROO%29%20plots%20to%20detect%20possible%20outliers%20in%20unreplicated%202k%20completely%20randomized%20factorial%20designs.pdf
http://psasir.upm.edu.my/id/eprint/53723/
http://www.arpnjournals.com/jeas/volume_18_2016.htm
_version_ 1643835470365327360
score 13.211869

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