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Volumn 36, Issue 5, 1997, Pages 133-140

Extreme value statistics: Potential benefits in water quality management

Author keywords

Extreme value statistics; Risk analysis; Water quality management

Indexed keywords

ENVIRONMENTAL ENGINEERING; MATHEMATICAL MODELS; RISK ASSESSMENT; STATISTICAL METHODS;

EID: 0030660469     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0273-1223(97)00498-8     Document Type: Conference Paper
Times cited : (5)

References (15)
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  • 2
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  • 4
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    • Gomes, M.1
  • 5
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  • 6
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    • Extremal theory for stochastic processes
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  • 7
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  • 8
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    • Maximum likelihood estimations of the parameters of the generalized extreme value distribution
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    • Prescott, P.1    Walden, A.2
  • 9
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    • Maximum likelihood estimation of the three-parameter generalized extreme value distribution from censored samples
    • Prescott, P. and Walden, A. (1983). Maximum likelihood estimation of the three-parameter generalized extreme value distribution from censored samples. Journal of Statistical Computing and Simulation, 16:241-250.
    • (1983) Journal of Statistical Computing and Simulation , vol.16 , pp. 241-250
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  • 10
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    • Threshold methods for sample extremes
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    • Smith, R. (1984). Threshold methods for sample extremes. In de Oliveira, J. T., editor, Statistical Extremes and Applications, pages 621-635. Reidel, Dordrecht.
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  • 12
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.