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    Statistical Test of the Distribution of Sea Surface Deflection

    Source: Journal of Atmospheric and Oceanic Technology:;1990:;volume( 007 ):;issue: 001::page 5
    Author:
    Abrahamse, A. P. J.
    ,
    van Heteren, J.
    ,
    Roskam, A. P.
    ,
    Bouman, J.
    DOI: 10.1175/1520-0426(1990)007<0005:STOTDO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Most of the common statistical tests are based upon statistically independent data. Many observations of physical phenomena are statistically dependent, as is indicated by the sample-autocorrelation function. In this paper, a test is presented for observations that are not statistically independent. The test is a modified form of the classical ?2-procedure and is based upon a transformation of the observations to statistically independent data assuming a second-order autoregressive model for describing the autocorrelation of the original observations. The test is applied to wind waves on sea, i.e., for testing on normality and on a ?Gram-Charlier distribution? of sea surface deflection. The results show that the instantaneous values of sea surface deflection during swell conditions satisfy the assumption of a normal distribution and those during sea conditions are approximately normal, though a better approximation is provided by the ?Three-term Gram-Charlier A Series distribution.?
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      Statistical Test of the Distribution of Sea Surface Deflection

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4194400
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorAbrahamse, A. P. J.
    contributor authorvan Heteren, J.
    contributor authorRoskam, A. P.
    contributor authorBouman, J.
    date accessioned2017-06-09T15:49:25Z
    date available2017-06-09T15:49:25Z
    date copyright1990/02/01
    date issued1990
    identifier issn0739-0572
    identifier otherams-544.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4194400
    description abstractMost of the common statistical tests are based upon statistically independent data. Many observations of physical phenomena are statistically dependent, as is indicated by the sample-autocorrelation function. In this paper, a test is presented for observations that are not statistically independent. The test is a modified form of the classical ?2-procedure and is based upon a transformation of the observations to statistically independent data assuming a second-order autoregressive model for describing the autocorrelation of the original observations. The test is applied to wind waves on sea, i.e., for testing on normality and on a ?Gram-Charlier distribution? of sea surface deflection. The results show that the instantaneous values of sea surface deflection during swell conditions satisfy the assumption of a normal distribution and those during sea conditions are approximately normal, though a better approximation is provided by the ?Three-term Gram-Charlier A Series distribution.?
    publisherAmerican Meteorological Society
    titleStatistical Test of the Distribution of Sea Surface Deflection
    typeJournal Paper
    journal volume7
    journal issue1
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1990)007<0005:STOTDO>2.0.CO;2
    journal fristpage5
    journal lastpage18
    treeJournal of Atmospheric and Oceanic Technology:;1990:;volume( 007 ):;issue: 001
    contenttypeFulltext
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