Long Range Dependence in Third Order for Non-Gaussian Time Series
György Terdik ()
Additional contact information
György Terdik: University of Debrecen, Department of Information Technology, Faculty of Informatics
Chapter Chapter 18 in Advances in Directional and Linear Statistics, 2011, pp 281-304 from Springer
Abstract:
Abstract The object of this paper is to define the long-range dependence (LRD) for a Non-Gaussian time series in third order and to investigate the third order properties of some well known long-range dependent series. We define the third order LRD in terms of the third order cumulants and of the bispectrum. The definition of the third order LRD is given in polar coordinates.
Keywords: Fractional Brownian Motion; Hurst Exponent; Order Property; Range Dependence; Order Cumulants (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2628-9_18
Ordering information: This item can be ordered from
http://www.springer.com/9783790826289
DOI: 10.1007/978-3-7908-2628-9_18
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().