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    Estimating Higher-Order Moments of Nonlinear Time Series

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 009::page 1948
    Author:
    Gluhovsky, Alexander
    ,
    Agee, Ernest
    DOI: 10.1175/2009JAMC2124.1
    Publisher: American Meteorological Society
    Abstract: This study extends the authors? earlier work that addresses the importance of bootstrap methods in computing statistical characteristics of meteorological and climatological datasets. Subsampling confidence intervals for the skewness and kurtosis are developed for nonlinear datasets, for which traditional time series techniques are not applicable. It also provides an example of how to apply subsampling to real data when only a single record of limited length is available: aircraft observations of vertical velocity in the wintertime convective boundary layer over Lake Michigan. This demonstrates the value of bootstrap methods in obtaining reliable confidence intervals for turbulent flows with coherent structures (characterized by non-Gaussian skewness and kurtosis).
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      Estimating Higher-Order Moments of Nonlinear Time Series

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    contributor authorGluhovsky, Alexander
    contributor authorAgee, Ernest
    date accessioned2017-06-09T16:27:45Z
    date available2017-06-09T16:27:45Z
    date copyright2009/09/01
    date issued2009
    identifier issn1558-8424
    identifier otherams-68294.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4209836
    description abstractThis study extends the authors? earlier work that addresses the importance of bootstrap methods in computing statistical characteristics of meteorological and climatological datasets. Subsampling confidence intervals for the skewness and kurtosis are developed for nonlinear datasets, for which traditional time series techniques are not applicable. It also provides an example of how to apply subsampling to real data when only a single record of limited length is available: aircraft observations of vertical velocity in the wintertime convective boundary layer over Lake Michigan. This demonstrates the value of bootstrap methods in obtaining reliable confidence intervals for turbulent flows with coherent structures (characterized by non-Gaussian skewness and kurtosis).
    publisherAmerican Meteorological Society
    titleEstimating Higher-Order Moments of Nonlinear Time Series
    typeJournal Paper
    journal volume48
    journal issue9
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2009JAMC2124.1
    journal fristpage1948
    journal lastpage1954
    treeJournal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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