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Power Analysis of Methods for Analysing Unreplicated Factorial Experiments
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-3911-8009
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-1473-3670
2013 (Swedish)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Several methods for formal analysis of unreplicated factorial type experiments have been proposed in the literature. Based on a simulation study, five formal methods found in the literature based on the effect sparsity principle have been studied. The simulation included 23 and 24 type factorials with one, two, or four active effects. The simulated signal-to-noise ratios for the effects were all between two and four, and the Type I and Type II errors of the analysis methods were analysed. Preliminary results show that Bayesian models are more powerful in these contexts, especially if informative priors based on the effect heredity and effect hierarchy principles are used.

Place, publisher, year, edition, pages
2013.
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-32106Local ID: 67ae6f0a-6a87-423a-b973-3d06cbf4bb21OAI: oai:DiVA.org:ltu-32106DiVA, id: diva2:1005340
Conference
Annual Conference of ENBIS : 16/09/2013 - 18/09/2013
Note
Godkänd; 2013; 20130923 (bjarne)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-03-26Bibliographically approved

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Bergquist, BjarneVanhatalo, Erik

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