Application of Bayesian networks to testing theory

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dc.contributor.authorYamada, Shinichien_US
dc.date.accessioned2024-08-15T20:19:01Z
dc.date.available2024-08-15T20:19:01Z
dc.date.copyright2001en_US
dc.date.issued2001
dc.degree.departmentDepartment of Mathematics and Statisticsen_US
dc.degree.levelMaster of Science M.Sc.en
dc.description.abstractWe investigate Bayesian Networks and Learning Bayesian Networks of Proba­bilistic Expert Systems. We apply those methods to Testing Theory. Bayesian Networks are simple and flexible graphical representation schemes and can be combined with other analytical tools. In this thesis we examine the ap­plication of Bayesian Networks to the analysis of complicated real events.
dc.format.extent180 pages
dc.identifier.urihttps://hdl.handle.net/1828/20225
dc.rightsAvailable to the World Wide Weben_US
dc.titleApplication of Bayesian networks to testing theoryen_US
dc.typeThesisen_US

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