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    Regional Skew with Weighted LS Regression

    Source: Journal of Water Resources Planning and Management:;1986:;Volume ( 112 ):;issue: 002
    Author:
    Gary D. Tasker
    ,
    Jery R. Stedinger
    DOI: 10.1061/(ASCE)0733-9496(1986)112:2(225)
    Publisher: American Society of Civil Engineers
    Abstract: A statistical procedure is developed for estimating generalized skew coefficients used in the WRC Guidelines for flood frequency estimation. The method is based on weighted least squares regression in which the weights are determined by separating residual variance into that due to model error and that due to sampling error. Results indicate that actual model errors are much smaller than estimates provided by ordinary least squares regression procedures.
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      Regional Skew with Weighted LS Regression

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    http://yetl.yabesh.ir/yetl1/handle/yetl/38776
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    contributor authorGary D. Tasker
    contributor authorJery R. Stedinger
    date accessioned2017-05-08T21:06:14Z
    date available2017-05-08T21:06:14Z
    date copyrightMarch 1986
    date issued1986
    identifier other%28asce%290733-9496%281986%29112%3A2%28225%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/38776
    description abstractA statistical procedure is developed for estimating generalized skew coefficients used in the WRC Guidelines for flood frequency estimation. The method is based on weighted least squares regression in which the weights are determined by separating residual variance into that due to model error and that due to sampling error. Results indicate that actual model errors are much smaller than estimates provided by ordinary least squares regression procedures.
    publisherAmerican Society of Civil Engineers
    titleRegional Skew with Weighted LS Regression
    typeJournal Paper
    journal volume112
    journal issue2
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(1986)112:2(225)
    treeJournal of Water Resources Planning and Management:;1986:;Volume ( 112 ):;issue: 002
    contenttypeFulltext
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