Empirical Comparisons of Five Procedures for Combining or Selecting Forecasts | Publication

Title	Empirical Comparisons of Five Procedures for Combining or Selecting Forecasts
Creator	唐揆 Ringuest, J.;Tang, Kwei
Contributor	企管系
Date	1989
Date Issued	24-Aug-2016 17:23:18 (UTC+8)
Summary	The Makridakis et al. (J. Forecasting 1, 111–153, 1982 [1]) 111 time series were used to evaluate five procedures for combining individual forecasts produced by different techniques. The five combinations considered were a simple average forecast, the median forecast, two versions of focus forecasting (Smith and Wright. Focus Forecasting: Computer Techniques for Inventory Control, 1978 [2]) and a procedure developed by Bunn (Opn. Res. Q. 26, 325 329, 1975 [3]) and Bunn and Kappos (Eur. J. Opn. Res. 9, 173-18O, 1982 [4]). Results indicate that each of the five combinations can potentially result in improved forecast accuracy. The conditions under which each combination will he most likely to improve forecast accuracy are discussed.
Relation	Socio Economic Planning Sciences, 23(4), 217-225
Type	article
DOI	http://dx.doi.org/10.1016/0038-0121(89)90029-3

dc.contributor	企管系
dc.creator (作者)	唐揆	zh_TW
dc.creator (作者)	Ringuest, J.;Tang, Kwei
dc.date (日期)	1989
dc.date.accessioned	24-Aug-2016 17:23:18 (UTC+8)	-
dc.date.available	24-Aug-2016 17:23:18 (UTC+8)	-
dc.date.issued (上傳時間)	24-Aug-2016 17:23:18 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/100713	-
dc.description.abstract (摘要)	The Makridakis et al. (J. Forecasting 1, 111–153, 1982 [1]) 111 time series were used to evaluate five procedures for combining individual forecasts produced by different techniques. The five combinations considered were a simple average forecast, the median forecast, two versions of focus forecasting (Smith and Wright. Focus Forecasting: Computer Techniques for Inventory Control, 1978 [2]) and a procedure developed by Bunn (Opn. Res. Q. 26, 325 329, 1975 [3]) and Bunn and Kappos (Eur. J. Opn. Res. 9, 173-18O, 1982 [4]). Results indicate that each of the five combinations can potentially result in improved forecast accuracy. The conditions under which each combination will he most likely to improve forecast accuracy are discussed.
dc.format.extent	129 bytes	-
dc.format.mimetype	text/html	-
dc.relation (關聯)	Socio Economic Planning Sciences, 23(4), 217-225
dc.title (題名)	Empirical Comparisons of Five Procedures for Combining or Selecting Forecasts
dc.type (資料類型)	article
dc.identifier.doi (DOI)	10.1016/0038-0121(89)90029-3
dc.doi.uri (DOI)	http://dx.doi.org/10.1016/0038-0121(89)90029-3