Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Anyang Normal University》 2007-05
Add to Favorite Get Latest Update

Partially Linear Autoregression Prediction Model of Chinese Coal Production

WANG Shu-xia,ZHANG De-sheng,WU Xin-qian (1.School of Science,Xi'an University of Technology,Xi'an 710054,China;2.School of Science,Northwestern Polytechnial University,Xi'an 710072,China)  
The traditional coal production forecast model cannot ideally catch the nonlinear characteristic of our country's coal production,so this text establishes the partially linear autoregression forecast model on coal production based on kernel estimation theory,and apply this model to predict the observations of 2007.01-2007.06.The computed results show that the partially linear autoregression model can give better results than the parametic autoregression model for forecasting china's coal production.
【CateGory Index】: O213;F426.21
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved