Martingales and inference in stationary processes - by Mohammad Zouhair El Ghour

dc.contributor.authorEl Ghour, Mohammad Zouhair
dc.contributor.departmentDepartment of Mathematics
dc.contributor.facultyFaculty of Arts and Sciences
dc.contributor.institutionAmerican University of Beirut
dc.date2007
dc.date.accessioned2012-06-13T07:10:33Z
dc.date.available2012-06-13T07:10:33Z
dc.date.issued2007
dc.descriptionThesis (M.S.)--American University of Beirut, Dept. of Mathematics, 2007.;"Advisor: Dr. John Haddad, Associate Professor, Mathematics--Member of Committee:Dr. Nabil Nassif, Professor, Mathematics--Member of Committee:Dr. Hazar Abu Khuzam, Professor, Mathe
dc.descriptionBibliography : leaf 37.
dc.description.abstractIn this thesis, martingale sequences of random variables are investigated and so me of their properties are discussed. It is shown that they could be of substant ial use in statistical inference theory. In chapter one , we recalled some basic notions and
dc.format.extentvii, 37 leaves 30 cm.
dc.identifier.urihttp://hdl.handle.net/10938/7396
dc.language.isoen
dc.relation.ispartofTheses, Dissertations, and Projects
dc.subject.classificationT:004966 AUBNO
dc.subject.lcshMartingales (Mathematics)
dc.subject.lcshInference
dc.subject.lcshRandom variables
dc.titleMartingales and inference in stationary processes - by Mohammad Zouhair El Ghour
dc.typeThesis

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