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dc.contributor.authorBarr, Donald Roy
dc.date.accessioned2013-01-23T21:53:41Z
dc.date.available2013-01-23T21:53:41Z
dc.date.issued1968-03
dc.identifier.urihttp://hdl.handle.net/10945/25738
dc.description.abstractIn viewing reliability growth prediction models as Markov chains, it is seen that the computation of the reliability after n trials and possible associated repairs, Rn, may be accomplished with any of several different methods. A class of models is considered which accommodates variations in several important factors such as the interdependencies of assignable cause failure modes, inclusion of an inherent failure mode, the repair policy, and the distribution of initial states of the system. (Author)en_US
dc.description.urihttp://archive.org/details/classofgeneralre00barr
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. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.subject.lcshCOMPOSITE MATERIALS.en_US
dc.titleA class of general reliability growth prediction modelsen_US
dc.typeTechnical Reporten_US
dc.description.recognitionNAen_US
dc.identifier.npsreportNPS55BNH031 A


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