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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/19716


    Title: Forecasting measurement data using the stepwise data adjustment regression method
    Other Titles: 利用逐步資料回歸法預測量測資料
    Authors: Chang, Horng-jinh;Lin, F. J.
    Contributors: 淡江大學經營決策學系
    Date: 1995-05
    Issue Date: 2009-11-30 12:19:33 (UTC+8)
    Publisher: New Delhi: Taru Publications
    Abstract: Forecasting is one of the most pervasive elements of managerial decision-making. In many industry, it plays an important role in business and facilities planning. One technique used to develop more accurate forecast is the SDAR Method (the Stepwise Data Adjustment Regression Method) for dealing with the response variable which are measurement data but not real values in this paper. The concept of this new forecasting method is that adds the adjustment idea step by step to the fitting process of regression model. This paper gives a brief outline of SDAR Method. The first half of the paper explains the concept and process, and the second half provides some forecasting examples using the international telecommunication traffic loads data in Taiwan.
    Relation: Journal of information & optimization sciences 16(2), pp.215-229
    DOI: 10.1080/02522667.1995.10699217
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

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