The use of known classical system reliability estimation methods to approximate the final solution in Bayesian methodology.

dc.contributor.advisorWoods, W.M.
dc.contributor.authorMattis, David William
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOperations Research and Administrative Sciences
dc.contributor.secondreaderBarr, D.R.
dc.dateSeptember 1972
dc.date.accessioned2012-11-13T23:44:52Z
dc.date.available2012-11-13T23:44:52Z
dc.date.issued1972-09
dc.description.abstractThis 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.distributionstatementApproved for public release; distribution is unlimited.
dc.description.serviceLieutenant, United States Navy
dc.description.urihttp://archive.org/details/theuseofknowncla1094516423
dc.identifier.urihttps://hdl.handle.net/10945/16423
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis 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.authorBayesian reliability
dc.subject.authorreliability confidence limits
dc.subject.authorconfidence limits, reliability
dc.subject.authorseries system reliability
dc.titleThe use of known classical system reliability estimation methods to approximate the final solution in Bayesian methodology.en_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
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