Forecasting measurement data using the stepwise data adjustment regression method
學年 83
學期 2
出版（發表）日期 1995-05-01
作品名稱 Forecasting measurement data using the stepwise data adjustment regression method
作品名稱（其他語言） 利用逐步資料回歸法預測量測資料
著者 Chang, Horng-jinh; Lin, F. J.
單位 淡江大學經營決策學系
出版者 New Delhi: Taru Publications
著錄名稱、卷期、頁數 Journal of information & optimization sciences 16(2), pp.215-229
摘要 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.
關鍵字
語言 en
ISSN 0252-2667 2169-0103
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 IND
公開徵稿
出版型式 ,電子版,紙本
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/19716 )

機構典藏連結
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