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    Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 050 ):;issue: 001::page 267
    Author:
    Makkonen, Lasse
    DOI: 10.1175/2010JAMC2533.1
    Publisher: American Meteorological Society
    Abstract: This reply addresses the use of order statistics in extreme value analysis. The author has previously proposed in this journal that the distribution-dependent estimators of plotting position in extreme value analysis should be abandoned and replaced by the Weibull formula. It was also demonstrated that the use of the wrong plotting positions has resulted in underestimation of the probability of extreme-weather events. Cook?s comments challenge these developments and defend the previously presented plotting methods. In this reply it is outlined that the Weibull formula provides the exact probability PI of nonexceedance in order-ranked data. Hence, there is no sampling error related to PI. This renders Cook?s primary arguments invalid. The specific critical comments by Cook are also replied to and are shown to be unfounded.
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    contributor authorMakkonen, Lasse
    date accessioned2017-06-09T16:34:02Z
    date available2017-06-09T16:34:02Z
    date copyright2011/01/01
    date issued2010
    identifier issn1558-8424
    identifier otherams-70106.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211851
    description abstractThis reply addresses the use of order statistics in extreme value analysis. The author has previously proposed in this journal that the distribution-dependent estimators of plotting position in extreme value analysis should be abandoned and replaced by the Weibull formula. It was also demonstrated that the use of the wrong plotting positions has resulted in underestimation of the probability of extreme-weather events. Cook?s comments challenge these developments and defend the previously presented plotting methods. In this reply it is outlined that the Weibull formula provides the exact probability PI of nonexceedance in order-ranked data. Hence, there is no sampling error related to PI. This renders Cook?s primary arguments invalid. The specific critical comments by Cook are also replied to and are shown to be unfounded.
    publisherAmerican Meteorological Society
    titleReply
    typeJournal Paper
    journal volume50
    journal issue1
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2010JAMC2533.1
    journal fristpage267
    journal lastpage270
    treeJournal of Applied Meteorology and Climatology:;2010:;volume( 050 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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