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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/19850

    Title: Forecasting Telecommunication Traffic Using the Enhanced Stepwise Projection Multiple Regression Method
    Other Titles: 利用逐步投影多元回歸預測電話量
    Authors: Chang, Horng-jinh;Lin, Feng-jenq
    Contributors: 淡江大學經營決策學系
    Keywords: The ESPMR;The base value;Measurement data;Periodical length;Flag
    Date: 1995-01
    Issue Date: 2009-11-30 12:24:23 (UTC+8)
    Publisher: University of Belgrade, Faculty of Organizational Sciences Laboratory for Operations Research
    Abstract: In this paper, one new technological forecasting method, called the Enhanced Stepwise Projection Multiple Regression (ESPMR), is proposed for dealing with the traffic loads that are measurement data but not real values. It combines the adjusting and detecting concepts of SPA (the Sequential Projection Algorithm) with the estimating method of linear regression model, and considers the periodical factor into forecasts if the data series has the periodical traces. Two empirical studies on the forecasting for the International Telecommunication Traffic Loads of Taiwan and the Metropolitan Telecommunication Traffic Loads of Taipei illustrate good and stable results by executing the ESPMR system.
    Relation: Yugoslav Journal of Operations Research 5(2), pp.271-288
    Appears in Collections:[Department of Management Sciences] Journal Article

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