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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/68724

    Title: Improved grey prediction models for trans-Pacific air passenger market
    Authors: Hsu, Chaug-ing;溫裕弘;Wen, Yuh-horng;Hsu, Chaug-ing
    Contributors: 淡江大學運輸管理學系
    Keywords: Aviation;Economics;Passenger Transportation
    Date: 1997-08
    Issue Date: 2011-10-23 13:43:08 (UTC+8)
    Publisher: American Society of Civil Engineers (ASCE)
    Abstract: 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.
    Relation: Proceedings of the International Aviation Simulation and Modeling Conference, pp. 87-107
    Appears in Collections:[Graduate Institute & Department of Transportation Management] Proceeding

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