Fitting probability distributions of annual rainfall in Sudan
Joint Authors
Muhammad, Tariq Mahjub
Ibrahim, Abbas Abd Allah
Source
Journal of Science and Technology : in Engineering and Computer Sciences
Issue
Vol. 17, Issue 2 (31 Dec. 2016), pp.34-39, 6 p.
Publisher
Sudan University of Science and Technology Deanship of Scientific Research
Publication Date
2016-12-31
Country of Publication
Sudan
No. of Pages
6
Main Subjects
Mathematics
Earth Sciences, Water and Environment
History and Geography
Topics
Abstract EN
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.
American Psychological Association (APA)
Muhammad, Tariq Mahjub& Ibrahim, Abbas Abd Allah. 2016. Fitting probability distributions of annual rainfall in Sudan. Journal of Science and Technology : in Engineering and Computer Sciences،Vol. 17, no. 2, pp.34-39.
https://search.emarefa.net/detail/BIM-644659
Modern Language Association (MLA)
Muhammad, Tariq Mahjub& Ibrahim, Abbas Abd Allah. Fitting probability distributions of annual rainfall in Sudan. Journal of Science and Technology : in Engineering and Computer Sciences Vol. 17, no. 2 (2016), pp.34-39.
https://search.emarefa.net/detail/BIM-644659
American Medical Association (AMA)
Muhammad, Tariq Mahjub& Ibrahim, Abbas Abd Allah. Fitting probability distributions of annual rainfall in Sudan. Journal of Science and Technology : in Engineering and Computer Sciences. 2016. Vol. 17, no. 2, pp.34-39.
https://search.emarefa.net/detail/BIM-644659
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 37-39
Record ID
BIM-644659
