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  • 标题:A NONPARAMETRIC TEST FOR NONLINEARITY BY THE WEIGHTED LEAST SQUARES METHOD
  • 本地全文:下载
  • 作者:Yasumasa Matsuda
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:1997
  • 卷号:27
  • 期号:2
  • 页码:141-156
  • DOI:10.14490/jjss1995.27.141
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:We propose nonparametric time domain statistics to test time series nonlinearity. We show the asymptotic properties of our statistics for an autoregressive process and also discuss the asymptotic results for some kinds of nonlinear processes. Next, we show the power of our statistics for various time series and compare the power of our statistics with that of other well known nonparametric statistics proposed by McLeod and Li [7], Tsay [11] and Hjellvik and Tjøstheim [12] by simulation studies.
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