Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105184
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBing, Gaoen
dc.contributor.authorOmbao, Hernandoen
dc.contributor.authorHo, Moon-Ho Ringoen
dc.contributor.editorChow, Sy-Miinen
dc.contributor.editorFerrer, Emilioen
dc.contributor.editorHsieh, Fushingen
dc.date.accessioned2015-07-01T05:33:03Zen
dc.date.accessioned2019-12-06T21:47:15Z-
dc.date.available2015-07-01T05:33:03Zen
dc.date.available2019-12-06T21:47:15Z-
dc.date.copyright2010en
dc.date.issued2010en
dc.identifier.citationBing, G., Ombao, H., & Ho, R. M.-H. (2009). Cluster analysis for non-stationary time series. In S.-M. Chow, E. Ferrer, & F. Hsieh (Eds.), Statistical methods for modeling human dynamics: An interdisciplinary dialogue. New York: Routledge.en
dc.identifier.isbn9781848728257en
dc.identifier.urihttps://hdl.handle.net/10356/105184-
dc.description.abstractAbstract not available.en
dc.language.isoenen
dc.publisherRoutledgeen
dc.subjectDRNTU::Humanitiesen
dc.titleCluster analysis for non-stationary time seriesen
dc.typeBook Chapteren
dc.contributor.schoolSchool of Humanities and Social Sciencesen
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:HSS Books & Book Chapters

Page view(s) 50

436
Updated on Jan 23, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.