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contributor authorWong, Raymond K. W.
date accessioned2017-06-09T17:39:14Z
date available2017-06-09T17:39:14Z
date copyright1977/12/01
date issued1977
identifier issn0021-8952
identifier otherams-9362.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232842
description abstractRapidly converging maximum likelihood procedures for estimating and testing Weibull distribution parameters are presented, together with numerical examples of their applications. Goodness-of-fit comparisons based on nine sets of meteorological or hydrological data were made among the gamma, lognormal, three-parameter kappa and Weibull distributions. The Weibull distribution is shown to be a reasonable alternative to the other three distributions.
publisherAmerican Meteorological Society
titleWeibull Distribution, Iterative Likelihood Techniques and Hydrometeorological Data
typeJournal Paper
journal volume16
journal issue12
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(1977)016<1360:WDILTA>2.0.CO;2
journal fristpage1360
journal lastpage1364
treeJournal of Applied Meteorology:;1977:;volume( 016 ):;issue: 012
contenttypeFulltext


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