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    Grid Point Pooling in Extreme Value Analysis of Hurricane Hindcast Data

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2009:;Volume ( 135 ):;issue: 002
    Author:
    John C. Heideman
    ,
    Douglas A. Mitchell
    DOI: 10.1061/(ASCE)0733-950X(2009)135:2(31)
    Publisher: American Society of Civil Engineers
    Abstract: Grid point pooling is a commonly used method to account for hurricane track variability in extreme value analysis. This paper presents a simplified mathematical interpretation of grid point pooling. Through logical arguments and numerical experiments, some general guidelines are then developed for a selection of grid points to include in the statistical pool.
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      Grid Point Pooling in Extreme Value Analysis of Hurricane Hindcast Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/41757
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    • Journal of Waterway, Port, Coastal, and Ocean Engineering

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    contributor authorJohn C. Heideman
    contributor authorDouglas A. Mitchell
    date accessioned2017-05-08T21:10:52Z
    date available2017-05-08T21:10:52Z
    date copyrightMarch 2009
    date issued2009
    identifier other%28asce%290733-950x%282009%29135%3A2%2831%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/41757
    description abstractGrid point pooling is a commonly used method to account for hurricane track variability in extreme value analysis. This paper presents a simplified mathematical interpretation of grid point pooling. Through logical arguments and numerical experiments, some general guidelines are then developed for a selection of grid points to include in the statistical pool.
    publisherAmerican Society of Civil Engineers
    titleGrid Point Pooling in Extreme Value Analysis of Hurricane Hindcast Data
    typeJournal Paper
    journal volume135
    journal issue2
    journal titleJournal of Waterway, Port, Coastal, and Ocean Engineering
    identifier doi10.1061/(ASCE)0733-950X(2009)135:2(31)
    treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2009:;Volume ( 135 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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