<Article>The Exact Expectations and Distributions of the Sample Autocorrelation Coefficients for an Integrated Moving Average Process <Article>The Exact Expectations and Distributions of the Sample Autocorrelation Coefficients for an Integrated Moving Average Process

抄録

The behaviour of the sample autocorrelation coefficients is important for the identification of the time series process. In this note the exact expectations and distributions of the sample autocorrelation coefficients for a particular unstationary time series process IMA (1, 1) are evaluated numerically. It turns out that the exact expectation of the sample autocorrelation coefficients are smaller than the Wichern's estimates (1973), to which Box and Jenkins (1976, 200-1) referred. And also, from the exact distribution of the sample autocorrelation coefficients, we notice that using the autocorrelation coefficients in the identification of time series process is not necessarily exact.

The behaviour of the sample autocorrelation coefficients is important for the identification of the time series process. In this note the exact expectations and distributions of the sample autocorrelation coefficients for a particular unstationary time series process IMA (1, 1) are evaluated numerically. It turns out that the exact expectation of the sample autocorrelation coefficients are smaller than the Wichern's estimates (1973), to which Box and Jenkins (1976, 200-1) referred. And also, from the exact distribution of the sample autocorrelation coefficients, we notice that using the autocorrelation coefficients in the identification of time series process is not necessarily exact.

収録刊行物

Bulletin of Osaka Prefecture University. Ser. D, Economics, business administration and law   [巻号一覧]

Bulletin of Osaka Prefecture University. Ser. D, Economics, business administration and law 40, 1-9, 1996-03-31  [この号の目次]

大阪府立大学

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各種コード

  • NII論文ID(NAID) :
    110000033328
  • NII書誌ID(NCID) :
    AA1121492X
  • 本文言語コード :
    ENG
  • 資料種別 :
    Departmental Bulletin Paper
  • ISSN :
    13423274
  • 収録DB :
    NII-ELS  IR