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A new application of generalized probability weighted moments / Neema Mohamed Ibrahiem Elharoun ; Supervised Elsayed Ahmed Elsherpieny , Amal Soliman Hassan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Neema Mohamed Ibrahiem Elharoun , 2015Description: 170 P. : charts ; 30cmOther title:
  • تطبيق جديد للعزوم الاحتمالية المعممة المرجحة [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics Summary: One of the common tasks in wind engineering is the estimation of extreme wind speeds based on probabilistic models of wind events and records of past observances. To use probabilistic models to describe the behavior of a set of observations, or a sample, estimates are determined for the distribution parameters such that the probability distribution best describes the general behavior of the sample. Various methods exist for determining a probability distribution{u2019}s parameter set estimatior for a given sample of extreme wind speeds. Common parameter estimation methods include, but are not limited to, the methods of moments and probability weighted moments
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.Ph.D.2015.Ne.N (Browse shelf(Opens below)) Not for loan 01010110066574000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.Ph.D.2015.Ne.N (Browse shelf(Opens below)) 66574.CD Not for loan 01020110066574000

Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics

One of the common tasks in wind engineering is the estimation of extreme wind speeds based on probabilistic models of wind events and records of past observances. To use probabilistic models to describe the behavior of a set of observations, or a sample, estimates are determined for the distribution parameters such that the probability distribution best describes the general behavior of the sample. Various methods exist for determining a probability distribution{u2019}s parameter set estimatior for a given sample of extreme wind speeds. Common parameter estimation methods include, but are not limited to, the methods of moments and probability weighted moments

Issued also as CD

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