File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Minimum variance unbiased estimation based on bootstrap iterations

TitleMinimum variance unbiased estimation based on bootstrap iterations
Authors
Lee, SMS
KeywordsComputers
Computer engineering
Issue Date2001
PublisherIEEE.
Citation
The 23rd International Conference on Information Technology Interfaces, Pula, Croatia, 19-22 June 2001. In Conference Proceedings, 2001, v. 1, p. 237-242 How to Cite?
DOI: http://dx.doi.org/10.1109/ITI.2001.938024
AbstractPractical computation of the minimum variance unbiased estimator (MVUE) is often a difficult, if not impossible, task, even though general statistical theory assures its existence under regularity conditions. We propose a new approach, based on infinitely many iterations of bootstrap bias correction, to calculating the MVUE approximately. A numerical example is given to illustrate the effectiveness of our new approach.
Persistent Identifierhttp://hdl.handle.net/10722/47054
ISSN
1330-1012

 

DC FieldValueLanguage
dc.contributor.authorLee, SMSen_HK
dc.date.accessioned2007-10-30T07:05:33Z-
dc.date.available2007-10-30T07:05:33Z-
dc.date.issued2001en_HK
dc.identifier.citationThe 23rd International Conference on Information Technology Interfaces, Pula, Croatia, 19-22 June 2001. In Conference Proceedings, 2001, v. 1, p. 237-242en_HK
dc.identifier.issn1330-1012en_HK
dc.identifier.urihttp://hdl.handle.net/10722/47054-
dc.description.abstractPractical computation of the minimum variance unbiased estimator (MVUE) is often a difficult, if not impossible, task, even though general statistical theory assures its existence under regularity conditions. We propose a new approach, based on infinitely many iterations of bootstrap bias correction, to calculating the MVUE approximately. A numerical example is given to illustrate the effectiveness of our new approach.en_HK
dc.format.extent400197 bytes-
dc.format.extent2357 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofInternational Conference on Information Technology Interfaces Proceedings-
dc.rights©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectComputersen_HK
dc.subjectComputer engineeringen_HK
dc.titleMinimum variance unbiased estimation based on bootstrap iterationsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1330-1012&volume=1&spage=237&epage=242&date=2001&atitle=Minimum+variance+unbiased+estimation+based+on+bootstrap+iterationsen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ITI.2001.938024en_HK
dc.identifier.scopuseid_2-s2.0-84898847998-
dc.identifier.hkuros62062-
dc.identifier.issnl1330-1012-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats