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文章基本信息

  • 标题:Bayesian Threshold Moving Average Models
  • 本地全文:下载
  • 作者:Smadi, Mahmoud M. ; Alodat, M. T.
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2011
  • 卷号:10
  • 期号:1
  • 页码:23
  • 出版社:Wayne State University
  • 摘要:A Bayesian approach in threshold moving average model for time series with two regimes is provided. The posterior distribution of the delay and threshold parameters are used to examine and investigate the intrinsic characteristics of this nonlinear time series model. The proposed approach is applied to both simulated data and a real data set obtained from a chemical system. Key words: Threshold time series, moving average model, Bayesian
  • 关键词:Threshold time series; moving average model; Bayesian estimation; simulation; chemical data
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