Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/16655
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dc.contributor.authorMohamed , Tariq Mahgoub
dc.contributor.authorIbrahim , Abbas Abd Allah
dc.date.accessioned2017-04-25T07:57:15Z
dc.date.available2017-04-25T07:57:15Z
dc.date.issued2015
dc.identifier.citationMohamed , 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.- articleen_US
dc.identifier.issnISSN 1605-427X
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/16655
dc.descriptionarticleen_US
dc.description.abstractAnnual 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.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoen_USen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectProbability Distributions, Annual Rainfall, Sudan, Goodness-of-Fit Testen_US
dc.titleFitting Probability Distributions of Annual Rainfall in Sudanen_US
dc.typeArticleen_US
Appears in Collections:Volume 17 No. 2

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