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    The Maximum-Likelihood Property of Estimators of Wave Parameters from Heave, Pitch, and Roll Buoys

    Source: Journal of Atmospheric and Oceanic Technology:;1992:;volume( 009 ):;issue: 002::page 169
    Author:
    Glad, Ingrid K.
    ,
    Krogstad, Harald E.
    DOI: 10.1175/1520-0426(1992)009<0169:TMLPOE>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: It is shown that ocean-wave spectrum parameters obtained from spectra of time series measured with heave, pitch, and roll data buoys are maximum-likelihood (ML) estimators under certain assumptions about the wave field. A modified set of ML estimators where the linear wave-theory dispersion relation is strictly enforced is shown to have only marginally better performance.
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      The Maximum-Likelihood Property of Estimators of Wave Parameters from Heave, Pitch, and Roll Buoys

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4214289
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    contributor authorGlad, Ingrid K.
    contributor authorKrogstad, Harald E.
    date accessioned2017-06-09T16:41:29Z
    date available2017-06-09T16:41:29Z
    date copyright1992/04/01
    date issued1992
    identifier issn0739-0572
    identifier otherams-723.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214289
    description abstractIt is shown that ocean-wave spectrum parameters obtained from spectra of time series measured with heave, pitch, and roll data buoys are maximum-likelihood (ML) estimators under certain assumptions about the wave field. A modified set of ML estimators where the linear wave-theory dispersion relation is strictly enforced is shown to have only marginally better performance.
    publisherAmerican Meteorological Society
    titleThe Maximum-Likelihood Property of Estimators of Wave Parameters from Heave, Pitch, and Roll Buoys
    typeJournal Paper
    journal volume9
    journal issue2
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1992)009<0169:TMLPOE>2.0.CO;2
    journal fristpage169
    journal lastpage173
    treeJournal of Atmospheric and Oceanic Technology:;1992:;volume( 009 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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