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    Simulation of r Highest-Order Extreme Values of Correlated Random Process

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 001
    Author:
    Yi Hui
    ,
    Yukio Tamura
    ,
    Qingshan Yang
    ,
    Zhengnong Li
    DOI: 10.1061/(ASCE)EM.1943-7889.0000965
    Publisher: American Society of Civil Engineers
    Abstract: Several existing methods on the extreme value estimation and signal simulation are reviewed in this study with evaluation of their performances in the simulation of the
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      Simulation of r Highest-Order Extreme Values of Correlated Random Process

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    http://yetl.yabesh.ir/yetl1/handle/yetl/81649
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    contributor authorYi Hui
    contributor authorYukio Tamura
    contributor authorQingshan Yang
    contributor authorZhengnong Li
    date accessioned2017-05-08T22:30:09Z
    date available2017-05-08T22:30:09Z
    date copyrightJanuary 2016
    date issued2016
    identifier other47180759.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81649
    description abstractSeveral existing methods on the extreme value estimation and signal simulation are reviewed in this study with evaluation of their performances in the simulation of the
    publisherAmerican Society of Civil Engineers
    titleSimulation of r Highest-Order Extreme Values of Correlated Random Process
    typeJournal Paper
    journal volume142
    journal issue1
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)EM.1943-7889.0000965
    treeJournal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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