Document Details

Document Type : Thesis 
Document Title :
Generalized Order Statistics from the Exponentiated Weibull Model and Associated Inference
الإحصاءات المرتبة المعممة من توزيع وايبل الأسي والاستدلال المصاحب
 
Document Language : Arabic 
Abstract : Kamps (1995a) introduced the concept of generalized order statistics to unify several concepts that have been used in statistics such as ordinary order statistics, record values, sequential order statistics, Pfeifer's record model and progressive censored samples. The exponentiated Weibull distribution is one of the most important distributions in both theoretical and practical grounds, especially, in the engineering and electrical studies. Statistical estimation used to obtain some estimators, (either point or interval), for the unknown population parameters based on some given data from the same population. On the other hand, statistical prediction used to obtain some estimates ,(either point or interval), for future "unobserved" data based on informative data from the same population. The main purpose of the Thesis is to obtain statistical estimation and prediction for the exponentiated Weibull distribution based on generalized order statistics. The Markov chain Monte Carlo (MCMC) method is used for the needed numerical computations. So, The maximum likelihood and Bayes techniques for estimating the parameters, reliability, hazard rate functions and the reliabilities of the stress-strength models 1 S =P(Y  
Supervisor : Gannat Ramadan AL- Dayian 
Thesis Type : Doctorate Thesis 
Publishing Year : 1433 AH
2012 AD 
Number Of Pages : 230 
Co-Supervisor : Zeinhum Fekri Jaheen 
Added Date : Sunday, March 2, 2014 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
مشاعل مسعود الحربيAl- Harbi, Mashail MasaudInvestigatorDoctorate 

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