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dc.contributor.advisorWaheba, Gamal
dc.contributor.authorSafaie, Nasser
dc.date.accessioned2010-09-23T15:40:29Z
dc.date.available2010-09-23T15:40:29Z
dc.date.issued2010-04-23
dc.identifier.citationSafaie, Nasser (2010). A fully Bayesian approach for sample size determination. -- In Proceedings: 6th Annual Symposium: Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p. 177-178en
dc.identifier.urihttp://hdl.handle.net/10057/3236
dc.descriptionPaper presented to the 6th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 23, 2010.en
dc.descriptionResearch completed at the Department of industrial and Manufacturing Engineering, College of Engineeringen
dc.description.abstractThe sample size determination plays a significant role in design and analysis of many engineering problems plus data sampling projects. There is a number of sampling techniques including both classical as well as Bayesian techniques and only some of them consider the economical aspect. The objective of this paper is to offer an economic Bayesian approach for determination of sample size. Mathematical models are derived and used to establish implementation boundaries from economic and technical viewpoints. In addition, numerical examples are used to highlight the economic advantages of Bayesian approach. Using simulated data, the performance of the proposed approach is compared to the classical methods in terms of the number of sample size criterion.en
dc.format.extent126824 bytes
dc.format.extent1843 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen
dc.publisherWichita State University. Graduate Schoolen
dc.relation.ispartofseriesGRASPen
dc.relation.ispartofseriesv.6en
dc.titleA fully Bayesian approach for sample size determinationen
dc.typeConference paperen


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