Introduction to design of experiments
A designed experiment is a modern approach in planning an experiment based on sound statistical practices. It offers a number of advantages over the traditional one factor at a time (OFAT) approach to experimentation. It is a structured method of changing multiple factors simultaneously to investig...
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iium-669552018-10-26T03:25:35Z http://irep.iium.edu.my/66955/ Introduction to design of experiments Wahid, Zaharah QA Mathematics QA276 Mathematical Statistics A designed experiment is a modern approach in planning an experiment based on sound statistical practices. It offers a number of advantages over the traditional one factor at a time (OFAT) approach to experimentation. It is a structured method of changing multiple factors simultaneously to investigate their effect on one or more response. It detects the interactions among the factors considered for the which cannot be found when changing one factor at a time. It is this interaction that most often prove to be the prime breakthrough improvements. DOE has proven to be extremely useful tool in research and industrial development applications 2018-07-04 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/66955/2/workshop-slide.pdf application/pdf en http://irep.iium.edu.my/66955/14/Poster.pdf Wahid, Zaharah (2018) Introduction to design of experiments. In: Workshop on Mathematical Modelling 2018, 4th-5th July 2018, Kuala Lumpur. (Unpublished) |
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International Islamic University Malaysia |
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English English |
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QA Mathematics QA276 Mathematical Statistics |
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QA Mathematics QA276 Mathematical Statistics Wahid, Zaharah Introduction to design of experiments |
description |
A designed experiment is a modern approach in planning an experiment based on sound statistical practices. It offers a number of advantages over the traditional one factor at a time (OFAT) approach to experimentation. It is a structured method of changing multiple factors simultaneously to
investigate their effect on one or more response. It detects the interactions among the factors considered for the which cannot be found when changing one factor at a time. It is this interaction that most often prove to be the prime breakthrough improvements. DOE has proven to be extremely
useful tool in research and industrial development applications |
format |
Conference or Workshop Item |
author |
Wahid, Zaharah |
author_facet |
Wahid, Zaharah |
author_sort |
Wahid, Zaharah |
title |
Introduction to design of experiments |
title_short |
Introduction to design of experiments |
title_full |
Introduction to design of experiments |
title_fullStr |
Introduction to design of experiments |
title_full_unstemmed |
Introduction to design of experiments |
title_sort |
introduction to design of experiments |
publishDate |
2018 |
url |
http://irep.iium.edu.my/66955/ http://irep.iium.edu.my/66955/2/workshop-slide.pdf http://irep.iium.edu.my/66955/14/Poster.pdf |
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2023-09-18T21:35:04Z |
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2023-09-18T21:35:04Z |
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1777412765554573312 |