Model selection criteria for autoregressive and autoregressive moving average models based on Kullback symmetric divergence

dc.contributor.advisorSamruam Chongcharoen, chairpersonth
dc.contributor.authorRujirek Boosarawongseth
dc.date.accessioned2014-05-05T08:50:10Z
dc.date.available2014-05-05T08:50:10Z
dc.date.issued2004th
dc.date.issuedBE2547th
dc.descriptionThesis (Ph.D. (Statistics))--National Institute of Development Administration, 2004.th
dc.format.extentxi, 137 leaves ; 30 cm.th
dc.format.mimetypeapplication/pdfth
dc.identifier.isbn9742315728th
dc.identifier.urihttp://repository.nida.ac.th/handle/662723737/393th
dc.language.isoength
dc.publisherNational Institute of Development Administrationth
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.th
dc.subject.lccQA 278.2 R859 2004th
dc.subject.otherAuto-regression (Statistics)th
dc.subject.otherRegression analysisth
dc.titleModel selection criteria for autoregressive and autoregressive moving average models based on Kullback symmetric divergenceth
dc.typetext--thesis--doctoral thesisth
mods.genreDissertationth
mods.physicalLocationNational Institute of Development Administration. Library and Information Centerth
thesis.degree.departmentSchool of Applied Statisticsth
thesis.degree.disciplineStatisticsth
thesis.degree.grantorNational Institute of Development Administrationth
thesis.degree.levelDoctoralth
thesis.degree.nameDoctor of Philosophyth
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