Smooth empirical Bayes estimation with application to the Weibull distribution

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dc.creatorBennett, G. Kemble
dc.date.accessioned2016-11-14T23:09:01Z
dc.date.available2011-02-18T23:22:50Z
dc.date.available2016-11-14T23:09:01Z
dc.date.issued1970-05
dc.degree.departmentIndustrial and Systems Engineeringen_US
dc.description.abstractThe type of decision problem to be considered in this dissertation can best be illustrated by an example. Consider the development program for a particular solid propellant- rocket engine which must "burn" for a specified time. In this program, certain points exist at which progress is monitored. For instance, the Pre-Plight Rating Test program would be one such point at the culmination of the initial R&D program, demonstrating the ability of a sample of engines to perform for a specified length of time. After this phase a new phase is entered in which flight and static tests are performed, and if needed, a more refined system configuration is developed. Finally, design is frozen, and a Qualification Test program is undertaken to demonstrate the suitability of the engine system. During this period in the program, several groups of engines are test-fired, and due to stringent reliability requirements, a large sample of engines is required.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/19892en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectStatistical decisionen_US
dc.subjectMathematical statisticsen_US
dc.subjectBayesian statistical decision theoryen_US
dc.subjectReliabilityen_US
dc.titleSmooth empirical Bayes estimation with application to the Weibull distribution
dc.typeDissertation

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