• DocumentCode
    2855557
  • Title

    A test for "long-memory" processes

  • Author

    Thomson, David J.

  • Author_Institution
    Queen´´s Univ., Kingston, Ont., Canada
  • fYear
    2003
  • fDate
    28 Sept.-1 Oct. 2003
  • Firstpage
    561
  • Lastpage
    564
  • Abstract
    This paper describes a multitaper test for long-memory processes against nonstationary alternatives. The test statistic is the largest canonical correlation between the multitaper eigencoefficients computed from data blocks offset in time. It is shown that the "Nile data" is not a long-memory process in the conventional sense, but has some persistent features at higher frequencies.
  • Keywords
    correlation methods; eigenvalues and eigenfunctions; signal processing; statistical analysis; Nile data; long-memory processes; multitaper eigencoefficients; Data analysis; Frequency; Lattices; Parametric statistics; Rivers; Shape; Signal processing; Statistical analysis; Temperature; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289528
  • Filename
    1289528