Why combining works?

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dc.contributor.authorMakridakis, Spyros
dc.date.accessioned2015-12-15T09:29:21Z
dc.date.available2015-12-15T09:29:21Z
dc.date.issued1989
dc.description.abstractThe purpose of this paper is to explore the reasons why combining works, discuss the implications involved and propose guidelines for improving the field of forecasting by exploiting the reasons that contribute to the success of combining.en_UK
dc.doi10.1016/0169-2070(89)90017-4
dc.identifier.issn0169-2070
dc.identifier.urihttp://hdl.handle.net/11728/6642
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relation.ispartofseriesInternational Journal of Forecasting;Volume 5, Issue 4
dc.rights© 1990 Published by Elsevier B.V.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectTime series forecastingen_UK
dc.subjectForecasting accuracyen_UK
dc.subjectCombiningen_UK
dc.titleWhy combining works?en_UK
dc.typeArticleen_UK

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