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  1. Stochastic Environmental Research and Risk Assessment
  2. Stochastic Environmental Research and Risk Assessment : Volume 22
  3. Stochastic Environmental Research and Risk Assessment : Volume 22, Issue 6, October 2008
  4. Method of moments of the Halphen distribution parameters
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Stochastic Environmental Research and Risk Assessment : Volume 31
Stochastic Environmental Research and Risk Assessment : Volume 30
Stochastic Environmental Research and Risk Assessment : Volume 29
Stochastic Environmental Research and Risk Assessment : Volume 28
Stochastic Environmental Research and Risk Assessment : Volume 27
Stochastic Environmental Research and Risk Assessment : Volume 26
Stochastic Environmental Research and Risk Assessment : Volume 25
Stochastic Environmental Research and Risk Assessment : Volume 24
Stochastic Environmental Research and Risk Assessment : Volume 23
Stochastic Environmental Research and Risk Assessment : Volume 22
Stochastic Environmental Research and Risk Assessment : Volume 22, Issue 6, October 2008
Analysis of inter-gauge dependence by Kendall’s τK, upper tail dependence coefficient, and 2-copulas with application to rainfall fields
An information-fusion method to identify pattern of spatial heterogeneity for improving the accuracy of estimation
Stochastic multi-site generation of daily rainfall occurrence in south Florida
Risk evaluation of heavy snow disasters using BP artificial neural network: the case of Xilingol in Inner Mongolia
Optimization tools and simulation methods for designing and evaluating a mining operation
Dominant processes concept, model simplification and classification framework in catchment hydrology
Method of moments of the Halphen distribution parameters
ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty
Signatures of low-dimensional chaos in hourly water level measurements at coastal site of Mariupol, Ukraine
An integrated fuzzy-stochastic modeling approach for assessing health-impact risk from air pollution
High blood lead level among the Mahayana Buddhist monk: a note for environmental implication
Some new random field tools for spatial analysis
Stochastic Environmental Research and Risk Assessment : Volume 22, Issue 5, August 2008
Stochastic Environmental Research and Risk Assessment : Volume 22, Issue 4, June 2008
Stochastic Environmental Research and Risk Assessment : Volume 22, Issue 3, April 2008
Stochastic Environmental Research and Risk Assessment : Volume 22, Issue 1, Supplement,March 2008
Stochastic Environmental Research and Risk Assessment : Volume 22, Issue 2, February 2008
Stochastic Environmental Research and Risk Assessment : Volume 22, Issue 1, January 2008
Stochastic Environmental Research and Risk Assessment : Volume 21
Stochastic Environmental Research and Risk Assessment : Volume 20
Stochastic Environmental Research and Risk Assessment : Volume 19
Stochastic Environmental Research and Risk Assessment : Volume 18
Stochastic Environmental Research and Risk Assessment : Volume 17
Stochastic Environmental Research and Risk Assessment : Volume 16
Stochastic Environmental Research and Risk Assessment : Volume 15
Stochastic Environmental Research and Risk Assessment : Volume 14
Stochastic Environmental Research and Risk Assessment : Volume 13
Stochastic Environmental Research and Risk Assessment : Volume 12
Stochastic Environmental Research and Risk Assessment : Volume 11

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Method of moments of the Halphen distribution parameters

Content Provider Springer Nature Link
Author Chebana, F. El Adlouni, S. Bobée, B.
Copyright Year 2007
Abstract Halphen laws have been proposed as a complete system of distributions with sufficient statistics that lead to estimation with minimum variance. The Halphen system provides a flexibility to fit a large variety of data sets from natural events. In this paper we present the method of moments (MM) to estimate the Halphen type B and IB distribution parameters. Their computation is very fast when compared to those given by the maximum likelihood method (ML). Furthermore, this estimation method is very easy to implement since the formulae are explicit. Some simulations show the equivalence of both methods when estimating the quantiles for finite sample size.
Starting Page 749
Ending Page 757
Page Count 9
File Format PDF
ISSN 14363240
Journal Stochastic Environmental Research and Risk Assessment
Volume Number 22
Issue Number 6
e-ISSN 14363259
Language English
Publisher Springer-Verlag
Publisher Date 2007-09-20
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Method of moments Halphen distribution Flood frequency analysis Parameter estimation Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Numerical and Computational Methods in Engineering Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences Probability Theory and Stochastic Processes Math. Applications in Geosciences Math. Application in Environmental Science
Content Type Text
Resource Type Article
Subject Environmental Chemistry Environmental Engineering Water Science and Technology Safety, Risk, Reliability and Quality
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