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  • 标题:A NOVEL DIFFERENCE EQUATION REPRESENTATION FOR AUTOREGRESSIVE TIME SERIES
  • 本地全文:下载
  • 作者:B.SELVARAJ ; M.RAJU ; M.THIYAGARAJAN
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:67
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The major components of the time series are the long term trend, the short term trend, cyclic variation and irregular fluctuations. Various attempts have been made to give necessary conditions for processing the specific components. Here we take necessary conditions to predict the asymptotic behavior of the time series using second order difference of the combinations of observations obtained from a general time series. Specific illustrations are given to authenticate our claim.
  • 关键词:Secular Trend; Time Series; Difference Equations; Second Order Forward Difference; Asymptotic Behavior; Numerical Data.
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