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    Double Cumulative and Lorenz Curves in Weather Modification

    Source: Journal of Applied Meteorology:;1982:;volume( 021 ):;issue: 008::page 1063
    Author:
    Crow, Edwin L.
    DOI: 10.1175/1520-0450(1982)021<1063:DCALCI>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A graphical presentation of precipitation data has been used for some years in which the cumulative percentage of the total mass falling on various days of a sample of precipitation days, ordered from the largest to the smallest mass, is plotted against the cumulative percentage of days. This type of graph is called a ?double cumulative curve? (DCC), but it is essentially the same as the Lorenz curve in economics. The paper reviews the literature, summarizes the properties, shows the DCC's for uniform, log-normal, exponential, gamma and degenerate distributions, studies the average effect of sample size, and presents a formula for testing the significance of the difference between two DCC's. This formula is applied to compare hail data of various types. It is concluded that a sample DCC is a biased estimate of the population DCC, but the bias becomes negligible as the sample size increases beyond ?30.
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      Double Cumulative and Lorenz Curves in Weather Modification

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    contributor authorCrow, Edwin L.
    date accessioned2017-06-09T13:58:55Z
    date available2017-06-09T13:58:55Z
    date copyright1982/08/01
    date issued1982
    identifier issn0021-8952
    identifier otherams-10313.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145417
    description abstractA graphical presentation of precipitation data has been used for some years in which the cumulative percentage of the total mass falling on various days of a sample of precipitation days, ordered from the largest to the smallest mass, is plotted against the cumulative percentage of days. This type of graph is called a ?double cumulative curve? (DCC), but it is essentially the same as the Lorenz curve in economics. The paper reviews the literature, summarizes the properties, shows the DCC's for uniform, log-normal, exponential, gamma and degenerate distributions, studies the average effect of sample size, and presents a formula for testing the significance of the difference between two DCC's. This formula is applied to compare hail data of various types. It is concluded that a sample DCC is a biased estimate of the population DCC, but the bias becomes negligible as the sample size increases beyond ?30.
    publisherAmerican Meteorological Society
    titleDouble Cumulative and Lorenz Curves in Weather Modification
    typeJournal Paper
    journal volume21
    journal issue8
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1982)021<1063:DCALCI>2.0.CO;2
    journal fristpage1063
    journal lastpage1070
    treeJournal of Applied Meteorology:;1982:;volume( 021 ):;issue: 008
    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