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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20083


    Title: Forecasting with the enhanced stepwise data adjustment regression method
    Authors: 張紘炬;Chang, Horng-jinh;Lin, Feng-jeng
    Contributors: 淡江大學經營決策學系
    Keywords: ESDAR method;measurement data;base value;UI algorithm;flag
    Date: 1998-11
    Issue Date: 2009-11-30 12:32:56 (UTC+8)
    Publisher: World Scientific Publishing
    Abstract: Forecasting is one of the most pervasive elements of managerial decision-making. In many industries, it plays an important role in business and facilities. One technique used to develop forecasts is the ESDAR (Enhanced Stepwise Data Adjustment Regression) method for dealing with the response variables. It upgrades the concept for adding adjustment idea to the fitting process on regression by using the Unit Increment algorithm for calculating the more reliable base values and considering the periodic factor into forecasting values. A brief outline of ESDAR method is presented. The concept and process are explained. Some examples for international telecommunication traffic loads forecasting to demonstrate its superiority are presented.
    Relation: Asia-pacific journal of operational research 15(2), pp.225-238
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

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