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    SEQUENCES OF WET OR DRY DAYS DESCRIBED BY A MARKOV CHAIN PROBABILITY MODEL

    Source: Monthly Weather Review:;1964:;volume( 092 ):;issue: 004::page 169
    Author:
    WEISS, LEONARD L.
    DOI: 10.1175/1520-0493(1964)092<0169:SOWODD>2.3.CO;2
    Publisher: American Meteorological Society
    Abstract: A Markov chain probability model is shown to fit sequences of wet or dry days in records of various length and for several climatically different areas. Seasonal variation of the probability values is shown, but no apparent secular trend. A nomograph relating probability, length of sequence, and cumulative probability is presented.
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      SEQUENCES OF WET OR DRY DAYS DESCRIBED BY A MARKOV CHAIN PROBABILITY MODEL

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4197832
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    contributor authorWEISS, LEONARD L.
    date accessioned2017-06-09T15:57:32Z
    date available2017-06-09T15:57:32Z
    date copyright1964/04/01
    date issued1964
    identifier issn0027-0644
    identifier otherams-57491.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4197832
    description abstractA Markov chain probability model is shown to fit sequences of wet or dry days in records of various length and for several climatically different areas. Seasonal variation of the probability values is shown, but no apparent secular trend. A nomograph relating probability, length of sequence, and cumulative probability is presented.
    publisherAmerican Meteorological Society
    titleSEQUENCES OF WET OR DRY DAYS DESCRIBED BY A MARKOV CHAIN PROBABILITY MODEL
    typeJournal Paper
    journal volume92
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1964)092<0169:SOWODD>2.3.CO;2
    journal fristpage169
    journal lastpage176
    treeMonthly Weather Review:;1964:;volume( 092 ):;issue: 004
    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