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postgraduate thesis: Statistical depth functions and depth-based robustness diagnosis

TitleStatistical depth functions and depth-based robustness diagnosis
Authors
Advisors
Advisor(s):Lee, SMS
Issue Date2005
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Lok, W. [駱穎思]. (2005). Statistical depth functions and depth-based robustness diagnosis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3483826
DegreeMaster of Philosophy
SubjectStatistical hypothesis testing.
Confidence intervals.
Dept/ProgramStatistics and Actuarial Science
Persistent Identifierhttp://hdl.handle.net/10722/26292
HKU Library Item IDb3483826

 

DC FieldValueLanguage
dc.contributor.advisorLee, SMS-
dc.contributor.authorLok, Wing-sze.-
dc.contributor.author駱穎思.-
dc.date.issued2005-
dc.identifier.citationLok, W. [駱穎思]. (2005). Statistical depth functions and depth-based robustness diagnosis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3483826-
dc.identifier.urihttp://hdl.handle.net/10722/26292-
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.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.source.urihttp://hub.hku.hk/bib/B34838260-
dc.subject.lcshStatistical hypothesis testing.-
dc.subject.lcshConfidence intervals.-
dc.titleStatistical depth functions and depth-based robustness diagnosis-
dc.typePG_Thesis-
dc.identifier.hkulb3483826-
dc.description.thesisnameMaster of Philosophy-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineStatistics and Actuarial Science-
dc.description.naturepublished_or_final_version-
dc.description.natureabstract-
dc.identifier.doi10.5353/th_b3483826-
dc.date.hkucongregation2006-
dc.identifier.mmsid991016443389703414-

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