The use of known classical system reliability estimation methods to approximate the final solution in Bayesian methodology.
dc.contributor.advisor | Woods, W.M. | |
dc.contributor.author | Mattis, David William | |
dc.contributor.corporate | Naval Postgraduate School (U.S.) | |
dc.contributor.department | Operations Research and Administrative Sciences | |
dc.contributor.secondreader | Barr, D.R. | |
dc.date | September 1972 | |
dc.date.accessioned | 2012-11-13T23:44:52Z | |
dc.date.available | 2012-11-13T23:44:52Z | |
dc.date.issued | 1972-09 | |
dc.description.abstract | This thesis examines three methods for calculating the 100(1- α)% lower confidence limits for the reliability of a K-sized series system. Assuming that each component reliability has a Beta distribution, identical posterior parameters A and B are assigned for each component. | |
dc.description.distributionstatement | Approved for public release; distribution is unlimited. | |
dc.description.service | Lieutenant, United States Navy | |
dc.description.uri | http://archive.org/details/theuseofknowncla1094516423 | |
dc.identifier.uri | https://hdl.handle.net/10945/16423 | |
dc.language.iso | en_US | |
dc.publisher | Monterey, California. Naval Postgraduate School | en_US |
dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | |
dc.subject.author | Bayesian reliability | |
dc.subject.author | reliability confidence limits | |
dc.subject.author | confidence limits, reliability | |
dc.subject.author | series system reliability | |
dc.title | The use of known classical system reliability estimation methods to approximate the final solution in Bayesian methodology. | en_US |
dc.type | Thesis | en_US |
dspace.entity.type | Publication | |
etd.thesisdegree.discipline | Operations Research | en_US |
etd.thesisdegree.grantor | Naval Postgraduate School | en_US |
etd.thesisdegree.level | Masters | en_US |
etd.thesisdegree.name | M.S. in Operations Research | en_US |
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