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  • 标题:Systematic Approach for Portmanteau Tests in View of the Whittle Likelihood Ratio
  • 本地全文:下载
  • 作者:Masanobu Taniguchi ; Tomoyuki Amano
  • 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:2009
  • 卷号:39
  • 期号:2
  • 页码:177-192
  • DOI:10.14490/jjss.39.177
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:Box and Pierce (1970) proposed a test statistic TBP which is the squared sum of m sample autocorrelations of the estimated residual process of an autoregressive-moving average model of order (p,q). TBP is called the classical portmanteau test. Under the null hypothesis that the autoregressive-moving average model of order (p,q) is adequate, they suggested that the distribution of TBP is approximated by a chi-square distribution with (m-p-q) degrees of freedom, ``if m is moderately large". This paper shows that TBP is understood to be a special form of the Whittle likelihood ratio test TPW for autoregressive-moving average spectral density with m -dependent residual processes. Then, it is shown that, for any finite m , TPW does not converge to a chi-square distribution with (m-p-q) degrees of freedom in distribution, and that if we assume Bloomfield's exponential spectral density, TPW is asymptotically chi-square distributed for any finite m . From this observation we propose a modified T†PW which is asymptotically chi-square distributed. In view of the likelihood ratio, we also mention the asymptotics of a natural Whittle likelihood ratio test TWLR which is always asymptotically chi-square distributed. Its local power is also evaluated. Numerical studies illuminate interesting features of TPW , T†PW , and TWLR . Because many versions of the portmanteau test have been proposed and been used in a variety of fields, our systematic approach for portmanteau tests and proposal of tests will give another view and useful applications.
  • 关键词:ARMA model;Exponential spectral model;LAN;local power;Portmanteau test;Time series model checking;Whittle likelihood
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