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文章基本信息

  • 标题:The First Order Autoregressive Model with Coefficient Contains Non-Negative Random Elements: Simulation and Esimation
  • 本地全文:下载
  • 作者:Pham Van Khanh
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2012
  • 卷号:2
  • 期号:5
  • 页码:498-503
  • DOI:10.4236/ojs.2012.25064
  • 出版社:Scientific Research Publishing
  • 摘要:This paper considered an autoregressive time series where the slope contains random components with non-negative values. The authors determine the stationary condition of the series to estimate its parameters by the quasi-maximum likelihood method. The authors also simulates and estimates the coefficients of the simulation chain. In this paper, we consider modeling and forecasting gold chain on the free market in Hanoi, Vietnam.
  • 关键词:Random Coefficient Autoregressive Model; Quasi-Maximum Likelihood; Consistency
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