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dc.contributor.authorChu, John Yee-Tseng, 1943-
dc.creatorChu, John Yee-Tseng, 1943-en
dc.date.accessioned2015-05-21T10:11:19Zen
dc.date.available2015-05-21T10:11:19Zen
dc.date.issued1973en
dc.identifier.urihttp://hdl.handle.net/10150/554503en
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.subjectBayesian statistical decision theory.en
dc.subjectSequential analysis.en
dc.subjectHydrophone.en
dc.subjectRemote sensing.en
dc.titleBayesian strategies for detecting and locating targetsen
dc.typetexten
dc.typeThesis-Reproduction (electronic)en
dc.identifier.oclc29378787en
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.levelmastersen
thesis.degree.disciplineSystems and Industrial Engineeringen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.nameM.S.en
dc.description.noteThis item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution images for any content in this item, please contact us at repository@u.library.arizona.edu.en
dc.identifier.bibrecord.b31133095en
dc.identifier.callnumberE9791 1973 186en
refterms.dateFOA2018-09-08T00:22:17Z


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