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Pregled bibliografske jedinice broj: 750968

Scaling properties of the empirical structure function of linear fractional stable motion and estimation of its parameters


Grahovac, Danijel; Leonenko, Nikolai; Taqqu, Murad
Scaling properties of the empirical structure function of linear fractional stable motion and estimation of its parameters // Journal of statistical physics, 158 (2015), 1; 105-119 doi:10.1007/s10955-014-1126-4 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 750968 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Scaling properties of the empirical structure function of linear fractional stable motion and estimation of its parameters

Autori
Grahovac, Danijel ; Leonenko, Nikolai ; Taqqu, Murad

Izvornik
Journal of statistical physics (0022-4715) 158 (2015), 1; 105-119

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Hurst parameter; tail index; self-similarity; stable index

Sažetak
Linear fractional stable motion is an example of a self-similar stationary increments stochastic process exhibiting both long-range dependence and heavy-tails. In this paper we propose methods that are able to estimate simultaneously the self-similarity parameter and the tail parameter. These methods are based on the asymptotic behavior of the so-called ``empirical structure function'', a statistic which resembles a sample moment of the process. We show and use the fact that the rate of growth of the empirical structure function is determined by the Hurst parameter and the tail index. We test the methods on simulated data and apply them to network traffic and solar flares data.

Izvorni jezik
Engleski

Znanstvena područja
Matematika



POVEZANOST RADA


Projekti:
235-2352818-1039 - Statistički aspekti problema procjene u nelinearnim parametarskim modelima (Benšić, Mirta, MZOS ) ( CroRIS)

Ustanove:
Sveučilište u Osijeku, Odjel za matematiku

Profili:

Avatar Url Danijel Grahovac (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi link.springer.com

Citiraj ovu publikaciju:

Grahovac, Danijel; Leonenko, Nikolai; Taqqu, Murad
Scaling properties of the empirical structure function of linear fractional stable motion and estimation of its parameters // Journal of statistical physics, 158 (2015), 1; 105-119 doi:10.1007/s10955-014-1126-4 (međunarodna recenzija, članak, znanstveni)
Grahovac, D., Leonenko, N. & Taqqu, M. (2015) Scaling properties of the empirical structure function of linear fractional stable motion and estimation of its parameters. Journal of statistical physics, 158 (1), 105-119 doi:10.1007/s10955-014-1126-4.
@article{article, author = {Grahovac, Danijel and Leonenko, Nikolai and Taqqu, Murad}, year = {2015}, pages = {105-119}, DOI = {10.1007/s10955-014-1126-4}, keywords = {Hurst parameter, tail index, self-similarity, stable index}, journal = {Journal of statistical physics}, doi = {10.1007/s10955-014-1126-4}, volume = {158}, number = {1}, issn = {0022-4715}, title = {Scaling properties of the empirical structure function of linear fractional stable motion and estimation of its parameters}, keyword = {Hurst parameter, tail index, self-similarity, stable index} }
@article{article, author = {Grahovac, Danijel and Leonenko, Nikolai and Taqqu, Murad}, year = {2015}, pages = {105-119}, DOI = {10.1007/s10955-014-1126-4}, keywords = {Hurst parameter, tail index, self-similarity, stable index}, journal = {Journal of statistical physics}, doi = {10.1007/s10955-014-1126-4}, volume = {158}, number = {1}, issn = {0022-4715}, title = {Scaling properties of the empirical structure function of linear fractional stable motion and estimation of its parameters}, keyword = {Hurst parameter, tail index, self-similarity, stable index} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • INSPEC
  • MathSciNet
  • Zentrallblatt für Mathematik/Mathematical Abstracts
  • Journal Citation Reports/Science Edition
  • Scopus
  • Mathematical Reviews
  • EBSCO


Citati:





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