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Towards improved an...
Towards improved analysis methods for two-level factorial experiments with time series responses
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- Vanhatalo, Erik (författare)
- Luleå tekniska universitet,Industriell Ekonomi,Luleå University of Technology, Quality Technology and Management
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- Bergquist, Bjarne (författare)
- Luleå tekniska universitet,Industriell Ekonomi,Luleå University of Technology, Quality Technology and Management
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- Vännman, Kerstin (författare)
- Luleå tekniska universitet,Umeå universitet,Högskolan Väst,Avd för elektro, lantmäteri och naturvetenskap,PTW,Statistik,Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå, Sweden and Department of Engineering Science, University West, Trollhättan, Sweden,Matematiska vetenskaper
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(creator_code:org_t)
- 2012-06-18
- 2013
- Engelska.
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Ingår i: Quality and Reliability Engineering International. - : Wiley. - 0748-8017 .- 1099-1638. ; 29:5, s. 725-741
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Dynamic processes exhibit a time delay between the disturbances and the resulting process response. Therefore, one has to acknowledge process dynamics, such as transition times, when planning and analyzing experiments in dynamic processes. In this article, we explore, discuss, and compare different methods to estimate location effects for two-level factorial experiments where the responses are represented by time series. Particularly, we outline the use of intervention-noise modeling to estimate the effects and to compare this method by using the averages of the response observations in each run as the single response. The comparisons are made by simulated experiments using a dynamic continuous process model. The results show that the effect estimates for the different analysis methods are similar. Using the average of the response in each run, but removing the transition time, is found to be a competitive, robust, and straightforward method, whereas intervention-noise models are found to be more comprehensive, render slightly fewer spurious effects, find more of the active effects for unreplicated experiments and provide the possibility to model effect dynamics. Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd.
Ämnesord
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Tillförlitlighets- och kvalitetsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Reliability and Maintenance (hsv//eng)
Nyckelord
- intervention-noise model
- location effects
- simulation
- time series analysis
- two-level factorial design
- Work-integrated learning
- WIL
- AIL
- Matematik
- Mathematics
- Work Integrated Learning
- Arbetsintegrerat lärande
- Kvalitetsteknik
- Matemathical Statistics
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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