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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/19544


    Title: Order series method for forecasting non-Gaussian time series
    Authors: Chuang, Ming-de;Yu, Gwo-hsing
    Contributors: 淡江大學水資源及環境工程學系
    Keywords: order series transformation;nonlinear instantaneous transformation;ARMA models
    Date: 2007-07
    Issue Date: 2009-11-04 17:06:19 (UTC+8)
    Publisher: John Wiley & Sons
    Abstract: Anew forecasting non-Gaussian time series method based on order series transformation properties has been proposed. The proposed method improves Yu’s method without using Hermite polynomial expansion to process nonlinear instantaneous transformations and provides acceptable forecasting accuracy.
    Relation: Journal of Forecasting 26(4), pp.239-250
    DOI: 10.1002/for.1024
    Appears in Collections:[水資源及環境工程學系暨研究所] 期刊論文

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