dc.contributor.author | Makridakis, Spyros | |
dc.date.accessioned | 2015-12-15T09:29:21Z | |
dc.date.available | 2015-12-15T09:29:21Z | |
dc.date.issued | 1989 | |
dc.identifier.issn | 0169-2070 | |
dc.identifier.uri | http://hdl.handle.net/11728/6642 | |
dc.description.abstract | The 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.language.iso | en | en_UK |
dc.publisher | Elsevier | en_UK |
dc.relation.ispartofseries | International Journal of Forecasting;Volume 5, Issue 4 | |
dc.rights | © 1990 Published by Elsevier B.V. | en_UK |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_UK |
dc.subject | Time series forecasting | en_UK |
dc.subject | Forecasting accuracy | en_UK |
dc.subject | Combining | en_UK |
dc.title | Why combining works? | en_UK |
dc.type | Article | en_UK |
dc.doi | 10.1016/0169-2070(89)90017-4 | |