메뉴 건너뛰기




Volumn 10, Issue 2, 2006, Pages 381-389

Analysis of extreme hydrological events using GEV distribution and LH moments;Análise de eventos hidrológicos extremos, usando-se a distribuição GEV e momentos LH

Author keywords

Estimation; Extreme events; Frequency analysis; Hypothesis testing

Indexed keywords


EID: 33750304428     PISSN: 14154366     EISSN: 18071929     Source Type: Journal    
DOI: 10.1590/s1415-43662006000200020     Document Type: Article
Times cited : (9)

References (13)
  • 1
    • 0026304147 scopus 로고
    • Goodness-of-fit test for regional generalized extreme value flood distributions
    • Washington
    • Chowdhury, J. U.; Stedinger, J. R.; Lu, L. Goodness-of-fit test for regional generalized extreme value flood distributions. Water Resources Research, Washington, v.27, n.7, p.1765-1776, 1991.
    • (1991) Water Resources Research , vol.27 , Issue.7 , pp. 1765-1776
    • Chowdhury, J.U.1    Stedinger, J.R.2    Lu, L.3
  • 2
    • 84958156266 scopus 로고
    • Limiting forms of the frequency distribution of the largest or smallest member of a sample
    • Cambridge
    • Fisher, R. A.; Tippett, L. H. C. Limiting forms of the frequency distribution of the largest or smallest member of a sample. Proceedings of the Cambridge Philosophical Society, Cambridge, v.24, n.2, p.180-190, 1928.
    • (1928) Proceedings of the Cambridge Philosophical Society , vol.24 , Issue.2 , pp. 180-190
    • Fisher, R.A.1    Tippett, L.H.C.2
  • 3
    • 0004255286 scopus 로고
    • New York: Columbia University Press
    • Gumbel, E. J. Statistics of extreme. New York: Columbia University Press, 1958, 396p.
    • (1958) Statistics of Extreme
    • Gumbel, E.J.1
  • 4
    • 0001070119 scopus 로고
    • Algorithm AS215: Maximum-likelihood estimation of the parameter of the generalized extrem-value distribution
    • London
    • Hosking, J. R. M.; Algorithm AS215: maximum-likelihood estimation of the parameter of the generalized extrem-value distribution. Journal of the Royal Statistical Society: Series C (Applied statistics), London, v.34, n.3, p.301-310, 1985.
    • (1985) Journal of the Royal Statistical Society: Series C (Applied Statistics) , vol.34 , Issue.3 , pp. 301-310
    • Hosking, J.R.M.1
  • 5
    • 0000310360 scopus 로고
    • L-moments: Analysis and estimation of distribution using linear combinations of order statistics
    • London
    • Hosking, J. R. M. L-moments: analysis and estimation of distribution using linear combinations of order statistics, Journal of the Royal Statistical Society: Series B (Statistical methodology), London, v.52, n.2 p.105-124, 1990.
    • (1990) Journal of the Royal Statistical Society: Series B (Statistical Methodology) , vol.52 , Issue.2 , pp. 105-124
    • Hosking, J.R.M.1
  • 6
    • 0022113451 scopus 로고
    • Estimation of the generalized extreme value distribution by the method of probability weighted moments
    • Alexandria
    • Hosking, J. R. M.; Wallis, J. R.; Wood, E. F. Estimation of the generalized extreme value distribution by the method of probability weighted moments. Technometrics, Alexandria, v.27, n.3, p.251-261, 1985.
    • (1985) Technometrics , vol.27 , Issue.3 , pp. 251-261
    • Hosking, J.R.M.1    Wallis, J.R.2    Wood, E.F.3
  • 7
    • 84904261422 scopus 로고
    • The frequency distribution of the annual maximum (or minimum) of meteorological elements
    • London, n.551.501.45
    • Jenkinson, A. F. The frequency distribution of the annual maximum (or minimum) of meteorological elements, Quarterly Journal of the Royal Meteorological Society, London, v.81, n.551.501.45, p.158-171, 1955.
    • (1955) Quarterly Journal of the Royal Meteorological Society , vol.81 , pp. 158-171
    • Jenkinson, A.F.1
  • 8
    • 0034019933 scopus 로고    scopus 로고
    • Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data
    • Washington
    • Martins, E. S.; Stedinger, J. R. Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data. Water Resources, Research, Washington, v.36, n.3, p.737-744, 2000.
    • (2000) Water Resources, Research , vol.36 , Issue.3 , pp. 737-744
    • Martins, E.S.1    Stedinger, J.R.2
  • 9
    • 0019138639 scopus 로고
    • Maximum-likelihood estimation of the general extreme-value distribution parameters
    • Amsterdam
    • Otten, A.; van Monfort, M. A. J. Maximum-likelihood estimation of the general extreme-value distribution parameters. Journal of Hydrology, Amsterdam, v.47, p.187-192, 1980.
    • (1980) Journal of Hydrology , vol.47 , pp. 187-192
    • Otten, A.1    Van Monfort, M.A.J.2
  • 10
    • 0000590745 scopus 로고
    • Maximum - Likelihood estimation of the parameters of the generalized extreme - Value distribution
    • Oxford
    • Prescott, P.; Walden, A. T. Maximum - likelihood estimation of the parameters of the generalized extreme - value distribution. Biometrika, Oxford, v.67, p.723-724, 1980.
    • (1980) Biometrika , vol.67 , pp. 723-724
    • Prescott, P.1    Walden, A.T.2
  • 12
    • 0030666363 scopus 로고    scopus 로고
    • LH moments for statistical analysis of extreme events
    • Washington
    • Wang, Q. J. LH moments for statistical analysis of extreme events, Water Resources Research, Washington, v.33, n.12, p.2841-2848, 1997.
    • (1997) Water Resources Research , vol.33 , Issue.12 , pp. 2841-2848
    • Wang, Q.J.1
  • 13
    • 0032408850 scopus 로고    scopus 로고
    • Approximate goodness-of-fit test of fitted generalized extreme value distribution using LH moments
    • Washington
    • Wang, Q. J. Approximate goodness-of-fit test of fitted generalized extreme value distribution using LH moments, Water Resources Research, Washington, v.34, n.12, p.3497-3502, 1998.
    • (1998) Water Resources Research , vol.34 , Issue.12 , pp. 3497-3502
    • Wang, Q.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.