Improved grey prediction models for trans-Pacific air passenger market

淡江大學機構典藏 > 商管學院 > 運輸管理學系暨研究所 > 會議論文 > 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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