淡江大學機構典藏:Item 987654321/68724
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    题名: Improved grey prediction models for trans-Pacific air passenger market
    作者: Hsu, Chaug-ing;溫裕弘;Wen, Yuh-horng;Hsu, Chaug-ing
    贡献者: 淡江大學運輸管理學系
    关键词: Aviation;Economics;Passenger Transportation
    日期: 1997-08
    上传时间: 2011-10-23 13:43:08 (UTC+8)
    出版者: American Society of Civil Engineers (ASCE)
    摘要: This study examines the precision of the Grey forecasting model applied to samples based on
    demand and sales in the global integrated circuit (IC) industry. In doing so, the main objective is to
    explore which forecast model is most appropriate for the IC industry by comparing the empirical
    results from the Grey model (GM), time series and exponential smoothing. Furthermore, three residual
    modification models are applied to enhance the forecasting results. Empirical results indicate that the
    GM is better suited to short-term predictions than to mid- and long-term predictions. Meanwhile, the
    Markov-chain residual modification model achieves reliable and precise results.D 2002 Elsevier Science Inc. All rights reserved.
    關聯: Proceedings of the International Aviation Simulation and Modeling Conference, pp. 87-107
    显示于类别:[運輸管理學系暨研究所] 會議論文

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