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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/77987
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/77987


    Title: Evaluating forecasting performance for interval data
    Authors: Hsu, Hui-Li
    徐惠莉
    Wu, Berlin
    吳柏林
    Contributors: 應數系
    Keywords: Interval time series;Mean squared error of interval;Mean relative interval error;Mean ratio of exclusive-or
    Date: 2008-11
    Issue Date: 2015-08-24 16:00:58 (UTC+8)
    Abstract: From the overlapping parts and the non-overlapping parts of the actual intervals and the forecast intervals, it should be defined a criterion which is more efficient to evaluate forecasting performance for interval data. In this paper, we present evaluation techniques for interval time series forecasting. The forecast results are compared by the mean squared error of the interval, mean relative interval error and mean ratio of exclusive-or. Simulation and empirical studies show that our proposed evaluation techniques for interval forecasting can provide a more objective decision space in interval forecasting to policymakers.
    Relation: Computers & Mathematics with Applications, 56(9), 2155-2163
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/j.camwa.2008.03.042
    DOI: 10.1016/j.camwa.2008.03.042
    Appears in Collections:[應用數學系] 期刊論文

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