A fully Bayesian approach for sample size determination

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dc.contributor.advisor	Waheba, Gamal
dc.contributor.author	Safaie, Nasser
dc.date.accessioned	2010-09-23T15:40:29Z
dc.date.available	2010-09-23T15:40:29Z
dc.date.issued	2010-04-23
dc.identifier.citation	Safaie, 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. 177-178	en
dc.identifier.uri	http://hdl.handle.net/10057/3236
dc.description	Paper 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.description	Research completed at the Department of industrial and Manufacturing Engineering, College of Engineering	en
dc.description.abstract	The 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.extent	126824 bytes
dc.format.extent	1843 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	text/plain
dc.language.iso	en_US	en
dc.publisher	Wichita State University. Graduate School	en
dc.relation.ispartofseries	GRASP	en
dc.relation.ispartofseries	v.6	en
dc.title	A fully Bayesian approach for sample size determination	en
dc.type	Conference paper	en