Show simple item record

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


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record