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Measuring the Similarity of Distributions for Wind Speed Variables in Sultanate of Oman

المؤلف الرئيسي: Al-Maani, Ibtisam Mohammed (Author)
مؤلفين آخرين: Alodat, Mohd (Advisor) , Ababneh, Faisal Mohammed Hamed (Advisor) , Sarr, Amadou (Advisor)
التاريخ الميلادي: 2021
موقع: مسقط
الصفحات: 1 - 88
رقم MD: 1184998
نوع المحتوى: رسائل جامعية
اللغة: الإنجليزية
الدرجة العلمية: رسالة ماجستير
الجامعة: جامعة السلطان قابوس
الكلية: كلية العلوم
الدولة: عمان
قواعد المعلومات: Dissertations
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LEADER 03146nam a2200337 4500
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041 |a eng 
100 |9 634105  |a Al-Maani, Ibtisam Mohammed   |e Author 
245 |a Measuring the Similarity of Distributions for Wind Speed Variables in Sultanate of Oman 
260 |a مسقط  |c 2021 
300 |a 1 - 88 
336 |a رسائل جامعية 
502 |b رسالة ماجستير  |c جامعة السلطان قابوس  |f كلية العلوم  |g عمان  |o 0687 
520 |a The overlapping or similarity coefficient is defined to be a measure of the similarity between two probability distributions. This coefficient is applied in various fields, such as signal processing, econometrics, ecology and particularly in meteorology. The objective of this study is to construct an index of similarity of wind speed distributions based on the overlapping coefficients and to apply this index to wind speed data in the Sultanate of Oman. We will use both parametric and nonparametric approaches to estimate the overlapping parameters of two distributions. First, in the parametric approach, we will fit parametric distributions, such as Burr type II, to the wind speed data and then we will estimate the overlapping coefficients. Whereas, in the nonparametric approach, we will estimate the overlapping coefficient by the Kernel Density Estimator (KDE) using the plug-in method. The main results are obtained in this thesis as follow. Although, the Burr distribution fits most of wind speed in stations, but it is difficult be adequate for all the station’s data. So, KDE can be an alternative method to fit the data. Furthermore, the most of the coefficients ρ, Δ and λ are close to each other. Also, it is noticed in all the cases the measures have this relationship of ρ, λ ≥ Δ. As well as, it has shown that the coefficients of KDE and Burr distributions and 95% Bootstraps Intervals are agreements. For the degree of similarity between pair stations, the distribution of wind speed between Masirah and Rustaq stations is a high different, because there are difference in geography area between these two sites. The most of the pair stations are moderate similar. 
653 |a الأرصاد الجوية  |a طاقة الرياح  |a المحطات الكهربائية  |a التوزيعات البارامترية 
700 |9 634108  |a Alodat, Mohd  |e Advisor 
700 |9 387452  |a Ababneh, Faisal Mohammed Hamed  |e Advisor 
700 |a Sarr, Amadou  |e Advisor  |9 521011 
856 |u 9809-008-007-0687-T.pdf  |y صفحة العنوان 
856 |u 9809-008-007-0687-A.pdf  |y المستخلص 
856 |u 9809-008-007-0687-C.pdf  |y قائمة المحتويات 
856 |u 9809-008-007-0687-F.pdf  |y 24 صفحة الأولى 
856 |u 9809-008-007-0687-1.pdf  |y 1 الفصل 
856 |u 9809-008-007-0687-2.pdf  |y 2 الفصل 
856 |u 9809-008-007-0687-3.pdf  |y 3 الفصل 
856 |u 9809-008-007-0687-4.pdf  |y 4 الفصل 
856 |u 9809-008-007-0687-R.pdf  |y المصادر والمراجع 
856 |u 9809-008-007-0687-S.pdf  |y الملاحق 
930 |d y 
995 |a Dissertations 
999 |c 1184998  |d 1184998 

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