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postgraduate thesis: Resampling algorithms for improved classification and estimation

TitleResampling algorithms for improved classification and estimation
Authors
Advisors
Advisor(s):Lee, SMS
Issue Date2011
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Soleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218
DegreeDoctor of Philosophy
SubjectNonparametric statistics.
Bootstrap (Statistics)
Estimation theory.
Dept/ProgramStatistics and Actuarial Science

 

DC FieldValueLanguage
dc.contributor.advisorLee, SMS-
dc.contributor.authorSoleymani, Mehdi.-
dc.date.issued2011-
dc.identifier.citationSoleymani, M.. (2011). Resampling algorithms for improved classification and estimation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4659218-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.source.urihttp://hub.hku.hk/bib/B46592180-
dc.subject.lcshNonparametric statistics.-
dc.subject.lcshBootstrap (Statistics)-
dc.subject.lcshEstimation theory.-
dc.titleResampling algorithms for improved classification and estimation-
dc.typePG_Thesis-
dc.identifier.hkulb4659218-
dc.description.thesisnameDoctor of Philosophy-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineStatistics and Actuarial Science-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5353/th_b4659218-
dc.date.hkucongregation2011-

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