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العنوان
Applications of Statistical Modeling of Extreme Data under Nonlinear Normalization /
المؤلف
Rakha, Nourhan Khalil Mostafa Mahmoud
هيئة الاعداد
باحث / Nourhan Khalil Mostafa Mahmoud Rakha
مشرف / Haroon Mohamad Barakat
مشرف / Moanis Abd El-Tawab Moaz
مشرف / Khaled Mahfouz Abd El-Wahab
مناقش / Haroon Mohamad Abd El-Fattah Barakat
مناقش / Beih El-Sayed El-Desouky
مناقش / Magdy El-Sayed Mohamed El-Adll
الموضوع
Mathematical Statistics
تاريخ النشر
2023.
عدد الصفحات
101 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الرياضيات الحاسوبية
تاريخ الإجازة
25/6/2023
مكان الإجازة
جامعة بورسعيد - كلية العلوم ببورسعيد - الرياضيات وعلوم الحاسب
الفهرس
Only 14 pages are availabe for public view

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Abstract

we develop the modeling of extreme events under exponential normalization. One aim is to suggest the generalized Pareto distribution under exponential normalization. Another aim is to adapt some popular estimation methods to use for the generalized of Pareto distribution under power and exponential normalization. a new computational technique for improving fitting quality is proposed and is tested on two real-world data sets using the probability-weighted moments. An additional aim is to derive the Pikand and Hill estimators based on the generalized Pareto distribution under exponential normalization. The new suggested methods and estimators are applied to real data examples.