Fitting probability distributions of annual rainfall in Sudan

المؤلفون المشاركون

Muhammad, Tariq Mahjub
Ibrahim, Abbas Abd Allah

المصدر

Journal of Science and Technology : in Engineering and Computer Sciences

العدد

المجلد 17، العدد 2 (31 ديسمبر/كانون الأول 2016)، ص ص. 34-39، 6ص.

الناشر

جامعة السودان للعلوم و التكنولوجيا عمادة البحث العلمي

تاريخ النشر

2016-12-31

دولة النشر

السودان

عدد الصفحات

6

التخصصات الرئيسية

الرياضيات
علوم الأرض و المياه و البيئة
تاريخ و جغرافيا

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes appendices : p. 37-39

رقم السجل

BIM-644659