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Volumn 79, Issue 6, 2009, Pages

Eliminating finite-size effects and detecting the amount of white noise in short records with long-term memory

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE WHITE NOISE; AUTOCORRELATION FUNCTIONS; CORRELATED DATA; CORRELATION EXPONENTS; DATA SETS; FINITE SIZE EFFECT; GAUSSIAN DISTRIBUTED; LOCAL MEAN; LONG TERM MEMORY; NATURAL HAZARD; SIZE PARAMETERS; TIME WINDOWS;

EID: 67650912363     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.79.066101     Document Type: Article
Times cited : (49)

References (23)
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    • Pelletier, J.D.1    Turcotte, D.L.2
  • 10
    • 59449100309 scopus 로고    scopus 로고
    • 10.1016/j.physa.2008.12.026
    • D. Rybski and A. Bunde, Physica A 388, 1687 (2009). 10.1016/j.physa.2008. 12.026
    • (2009) Physica A , vol.388 , pp. 1687
    • Rybski, D.1    Bunde, A.2
  • 14
    • 0001292693 scopus 로고    scopus 로고
    • 10.1080/135048596355691
    • T. Lux, Appl. Econ. Lett. 3, 701 (1996). 10.1080/135048596355691
    • (1996) Appl. Econ. Lett. , vol.3 , pp. 701
    • Lux, T.1
  • 23
    • 67650817063 scopus 로고    scopus 로고
    • In this technique, one first generates uncorrelated Gaussian data gi, i=1,...,N and determines its Fourier transform g k = (1/N) l=1 N gl e-2πikl/N with N/2
    • In this technique, one first generates uncorrelated Gaussian data gi, i=1,...,N and determines its Fourier transform g k = (1/N) l=1 N gl e-2πikl/N with N/2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.