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العنوان
Study of the Finite Mixture of Weibull Extension Model /
المؤلف
Noura Saeed Mohamed Abdel Meguid,
هيئة الاعداد
باحث / Noura Saeed Mohamed Abdel Meguid,
مشرف / Sanaa A. Ismail
مشرف / Moshira A. Ismail
مشرف / Sanaa El Gayyar
الموضوع
Statistics
تاريخ النشر
2022.
عدد الصفحات
178 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الإحصاء والاحتمالات
تاريخ الإجازة
24/10/2022
مكان الإجازة
جامعة القاهرة - كلية اقتصاد و علوم سياسية - Statistics
الفهرس
Only 14 pages are availabe for public view

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Abstract

Finite mixture models have been used in several fields of statistical analysis such as pattern recognition, clustering, survival analysis. Introducing mixtures of new generalized lifetime distributions that exhibit important hazard shapes is a major field of research. Historically, survival analysis has been represented with the classical statistical distributions such as Gamma, exponential and Weibull distributions among others. Generalizations of such lifetime distributions have been introduced in the literature to fit a wider variety of data sets and to present multiple shapes of useful hazard rate functions. The distribution adopted throughout this thesis, the Weibull Extension Model, is considered a generalization of the Chen model by adding a scale parameter.