Document Details

Document Type : Project 
Document Title :
Peter statistical inferences using the values ​​recorded from the distribution of Riley
استدلالات بيتر الإحصائية باستخدام قيم مسجلة من توزيع رايلي
 
Document Language : Arabic 
Abstract : Bayesian approach (Bayesian Approach) is one of the important trends in statistical inference because it gives the researcher the possibility to benefit from information on the parameters of tribal distribution, there are plenty of research that has been accomplished using this approach. In this project and using the Bayesian approach, we make some statistical inferences for the distribution of Riley depending on the values ​​recorded (record values) subject to this distribution. Where: - Find the capabilities of the largest possible (MLE) and Bayesian capabilities of the parameter to the distribution functions as well as the capabilities of the power and the rate of failure. - The capabilities of Bees been obtained using asymmetric loss functions and asymmetric distributions depending on the parameter of tribal and non-teacher to teacher distribution. - Has been compared to various estimates that have been obtained with classical methods and capabilities from which the capabilities of the largest and the best possible capabilities of linear unbiased (BLUE). - Also were calculated periods of higher dimensional density (HPDI) of the parameter functions and authority and the failure rate. - Finally, the Bayesian prediction intervals account for some reported values ​​of future depending on the sample from the previous reported values​​, which follow the same distribution, were generated using samples and real samples and comparisons in order to clarify the practice of what we achieved results. 
Publishing Year : 1425 AH
2005 AD 
Sponsor Name : kau 
Sponsorship Year : 1425 AH
2005 AD 
Added Date : Wednesday, April 30, 2008 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
فهد محمد العبودalabood, fahad mohammedInvestigatorDoctorate 

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