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Fitting Probability Distributions of Annual Rainfall in Sudan

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dc.contributor.author Mohamed , Tariq Mahgoub
dc.contributor.author Ibrahim , Abbas Abd Allah
dc.date.accessioned 2017-04-25T07:57:15Z
dc.date.available 2017-04-25T07:57:15Z
dc.date.issued 2015
dc.identifier.citation Mohamed , Tariq Mahgoub . Fitting Probability Distributions of Annual Rainfall in Sudan \ Tariq Mahgoub Mohamed ,Abbas Abd Allah Ibrahim .- Journal of Engineering and Computer Sciences (ECS) .- vol 17 , no2.- 2016.- article en_US
dc.identifier.issn ISSN 1605-427X
dc.identifier.uri http://repository.sustech.edu/handle/123456789/16655
dc.description article en_US
dc.description.abstract Annual rainfall data for fourteen rainfall stations in Sudan during the period 1971 to 2010 were analyzed to select the best probability distribution for every station. The rainfall data was obtained from the Sudan Meteorological Authority (SMA). Five distributions were tested, namely Normal, Log normal, Gamma, Weibull and exponential distribution. Three statistical goodness of fit test were used on the basis of the minimum value of test statistic. The best fit probability distribution was selected based on the minimum deviation between observed and estimated values. The normal and gamma distribution were selected as the best fit probability distribution for the annual rainfall in Sudan during the period of the study, respectively. en_US
dc.description.sponsorship Sudan University of Science and Technology en_US
dc.language.iso en_US en_US
dc.publisher Sudan University of Science and Technology en_US
dc.subject Probability Distributions, Annual Rainfall, Sudan, Goodness-of-Fit Test en_US
dc.title Fitting Probability Distributions of Annual Rainfall in Sudan en_US
dc.type Article en_US


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