English  |  正體中文  |  简体中文  |  Items with full text/Total items : 88295/117812 (75%)
Visitors : 23398233      Online Users : 308
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/100713
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/100713


    Title: Empirical Comparisons of Five Procedures for Combining or Selecting Forecasts
    Authors: 唐揆
    Ringuest, J.;Tang, Kwei
    Contributors: 企管系
    Date: 1989
    Issue Date: 2016-08-24 17:23:18 (UTC+8)
    Abstract: 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
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/0038-0121(89)90029-3
    DOI: 10.1016/0038-0121(89)90029-3
    Appears in Collections:[企業管理學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML316View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback