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    Prediction of Multivariate Time Series

    Source: Journal of Applied Meteorology:;1964:;volume( 003 ):;issue: 003::page 285
    Author:
    Jones, Richard H.
    DOI: 10.1175/1520-0450(1964)003<0285:POMTS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A method of linear prediction of stationary multivariate time series is discussed from the point of view of meteorological applications. Tests of significance are given and it is shown by examples that the method is practical even when the dimensionality of the series becomes quite large.
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      Prediction of Multivariate Time Series

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4212645
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    contributor authorJones, Richard H.
    date accessioned2017-06-09T16:36:25Z
    date available2017-06-09T16:36:25Z
    date copyright1964/06/01
    date issued1964
    identifier issn0021-8952
    identifier otherams-7082.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212645
    description abstractA method of linear prediction of stationary multivariate time series is discussed from the point of view of meteorological applications. Tests of significance are given and it is shown by examples that the method is practical even when the dimensionality of the series becomes quite large.
    publisherAmerican Meteorological Society
    titlePrediction of Multivariate Time Series
    typeJournal Paper
    journal volume3
    journal issue3
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1964)003<0285:POMTS>2.0.CO;2
    journal fristpage285
    journal lastpage289
    treeJournal of Applied Meteorology:;1964:;volume( 003 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian