Log-periodogram estimation of the memory parameter of a long-memory process under trend

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Philipp Sibbertsen

External Research Organisations

  • TU Dortmund University
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Details

Original languageEnglish
Pages (from-to)261-268
Number of pages8
JournalStatistics and Probability Letters
Volume61
Issue number3
Early online date1 Nov 2002
Publication statusPublished - 1 Feb 2003
Externally publishedYes

Abstract

We show that log-periodogram-based estimators for the memory parameter in a stationary invertible long memory process do not confuse small trends withlong-range dependence. In the case of slowly decaying trends we show by Monte Carlo methods that the tapered periodogram is quite robust against these trends and reduces the bias obtained when employing the standard log-periodogram estimator. Thus, comparing the tapered and the non-tapered estimator gives a tool at hand for distinguishing slowly decaying trends and long-range dependence.

Keywords

    Log-periodogram regression, Long memory, Trends

ASJC Scopus subject areas

Cite this

Log-periodogram estimation of the memory parameter of a long-memory process under trend. / Sibbertsen, Philipp.
In: Statistics and Probability Letters, Vol. 61, No. 3, 01.02.2003, p. 261-268.

Research output: Contribution to journalArticleResearchpeer review

Sibbertsen P. Log-periodogram estimation of the memory parameter of a long-memory process under trend. Statistics and Probability Letters. 2003 Feb 1;61(3):261-268. Epub 2002 Nov 1. doi: 10.1016/S0167-7152(02)00358-9
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