File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Modeling and Forecasting Call Center Arrivals: A Literature Survey and A Case Study

TitleModeling and Forecasting Call Center Arrivals: A Literature Survey and A Case Study
Authors
Ibrahim, RYe, HL’Ecuyer, PShen, H
KeywordsARIMA
Bayesian
Call center arrivals
Dependence
Dimension reduction
Doubly stochastic Poisson
Exponential smoothing
Fixed-effects
Forecasting
Marketing events
Mixed-effects
Seasonality
Time series
Issue Date2016
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ijforecast
Citation
International Journal of Forecasting, 2016, v. 32, p. 865-874 How to Cite?
DOI: http://dx.doi.org/10.1016/j.ijforecast.2015.11.012
Persistent Identifierhttp://hdl.handle.net/10722/248623
ISSN
0169-2070
2023 Impact Factor: 6.9
2023 SCImago Journal Rankings: 2.691
ISI Accession Number ID
WOS:000378470600019

 

DC FieldValueLanguage
dc.contributor.authorIbrahim, R-
dc.contributor.authorYe, H-
dc.contributor.authorL’Ecuyer, P-
dc.contributor.authorShen, H-
dc.date.accessioned2017-10-18T08:46:04Z-
dc.date.available2017-10-18T08:46:04Z-
dc.date.issued2016-
dc.identifier.citationInternational Journal of Forecasting, 2016, v. 32, p. 865-874-
dc.identifier.issn0169-2070-
dc.identifier.urihttp://hdl.handle.net/10722/248623-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ijforecast-
dc.relation.ispartofInternational Journal of Forecasting-
dc.rightsPosting accepted manuscript (postprint): © <year>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectARIMA-
dc.subjectBayesian-
dc.subjectCall center arrivals-
dc.subjectDependence-
dc.subjectDimension reduction-
dc.subjectDoubly stochastic Poisson-
dc.subjectExponential smoothing-
dc.subjectFixed-effects-
dc.subjectForecasting-
dc.subjectMarketing events-
dc.subjectMixed-effects-
dc.subjectSeasonality-
dc.subjectTime series-
dc.titleModeling and Forecasting Call Center Arrivals: A Literature Survey and A Case Study-
dc.typeArticle-
dc.identifier.emailShen, H: haipeng@hku.hk-
dc.identifier.authorityShen, H=rp02082-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1016/j.ijforecast.2015.11.012-
dc.identifier.scopuseid_2-s2.0-84960977865-
dc.identifier.hkuros279501-
dc.identifier.volume32-
dc.identifier.spage865-
dc.identifier.epage874-
dc.identifier.isiWOS:000378470600019-
dc.publisher.placeNetherlands-
dc.identifier.issnl0169-2070-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats