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Volumn 3, Issue , 2001, Pages 169-172

Applications of nonlinear prediction methods to the Internet traffic

Author keywords

[No Author keywords available]

Indexed keywords

CHAOTIC TIME SERIES; CROSS-CORRELATION COEFFICIENT; INTERNET TRAFFIC; LOCAL LINEAR APPROXIMATION; NONLINEAR PREDICTION METHODS; NONLINEAR TIME SERIES; SURROGATE DATA; TRAFFIC TIME SERIES;

EID: 0035023736     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2001.921273     Document Type: Conference Paper
Times cited : (42)

References (8)
  • 1
    • 34249982739 scopus 로고
    • Predicting chaotic time series
    • J. Farmer and J. Sidrowich: "Predicting Chaotic Time Series." Phys. Rev. Lett. 59. 845-848. 1987.
    • (1987) Phys. Rev. Lett. , vol.59 , pp. 845-848
    • Farmer, J.1    Sidrowich, J.2
  • 2
    • 45149144372 scopus 로고
    • Nonlinear prediction of chaotic time series
    • M. Casdagli: "Nonlinear prediction of chaotic time series", Physica D. 35, 335-356. 1989.
    • (1989) Physica D , vol.35 , pp. 335-356
    • Casdagli, M.1
  • 4
    • 44049111332 scopus 로고
    • Testing for Nonlinearity in Time series: The method of surrogate data
    • J. Theiler et al.: "Testing for Nonlinearity in Time series: the method of surrogate data." Physica D. 58. 77-94. 1992.
    • (1992) Physica D , vol.58 , pp. 77-94
    • Theiler, J.1
  • 6
    • 0028377540 scopus 로고
    • On the self-similar nature of ethernet traffic (extended version)
    • W. Leland et al. "On the Self-Similar Nature of Ethernet Traffic (Extended Version)." IEEE/ACM Trans, on Networking. 2. 1-15. 1994.
    • (1994) IEEE/ACM Trans, on Networking , vol.2 , pp. 1-15
    • Leland, W.1
  • 8
    • 6144236430 scopus 로고    scopus 로고
    • Improved surrogate data for nonlinearity tests
    • T. Schreiber and A. Schmitz: "Improved Surrogate Data for Nonlinear Tests." Physical Review Letters, 77. 635-638. 1996. (Pubitemid 126624517)
    • (1996) Physical Review Letters , vol.77 , Issue.4 , pp. 635-638
    • Schreiber, T.1    Schmitz, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.