Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Selection of Smoothing Coefficient via Exponential Smoothing Algorithm

WANG Chang-jiang(School of Economics and Management,North University of China,Taiyuan 030051,China)  
After an analysis on the disadvantages of Exponential Smoothing Algorithm(ESA) in the selection of smoothing coefficient from theoretical and empirical perspectives,the author has proposed a new method for selecting smoothing coefficient by ESA to smooth and forecast data.The value of smoothing coefficient has a significant impact on the accuracy of data smoothing and data forecasting: when the ESA is used to smooth data,the smoothing coefficient needs to be smaller.When it is used to forecast data,the smoothing coefficient needs to be greater,so as to improve the accuracy of data smoothing and data forecasting.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved