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    Log-Pearson Type 3 Distribution and Its Application in Flood Frequency Analysis. II: Parameter Estimation Methods

    Source: Journal of Hydrologic Engineering:;2007:;Volume ( 012 ):;issue: 005
    Author:
    V. W. Griffis
    ,
    J. R. Stedinger
    DOI: 10.1061/(ASCE)1084-0699(2007)12:5(492)
    Publisher: American Society of Civil Engineers
    Abstract: A number of parameter estimation methods for the log-Pearson type 3 distribution have been explored in the hydrologic literature, including the method of moments (MOM) in both log space and real space, maximum likelihood estimators (MLEs), and the method of mixed moments (MXM). Several studies have compared MLE and MXM estimators to a so-called
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      Log-Pearson Type 3 Distribution and Its Application in Flood Frequency Analysis. II: Parameter Estimation Methods

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    http://yetl.yabesh.ir/yetl1/handle/yetl/50061
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    contributor authorV. W. Griffis
    contributor authorJ. R. Stedinger
    date accessioned2017-05-08T21:24:07Z
    date available2017-05-08T21:24:07Z
    date copyrightSeptember 2007
    date issued2007
    identifier other%28asce%291084-0699%282007%2912%3A5%28492%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/50061
    description abstractA number of parameter estimation methods for the log-Pearson type 3 distribution have been explored in the hydrologic literature, including the method of moments (MOM) in both log space and real space, maximum likelihood estimators (MLEs), and the method of mixed moments (MXM). Several studies have compared MLE and MXM estimators to a so-called
    publisherAmerican Society of Civil Engineers
    titleLog-Pearson Type 3 Distribution and Its Application in Flood Frequency Analysis. II: Parameter Estimation Methods
    typeJournal Paper
    journal volume12
    journal issue5
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)1084-0699(2007)12:5(492)
    treeJournal of Hydrologic Engineering:;2007:;Volume ( 012 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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