Bayes Inference in Multiple Step–Stress Accelerated Life Tests for the Generalized Exponential Distribution with Type–I Censoring

Faculty Commerce Year: 2020
Type of Publication: ZU Hosted Pages:
Authors:
Hatem Elsayed Abdelwahied Semary
Journal: KASMERA Journal VENEZUELA Volume:
Keywords : Bayes Inference , Multiple Step–Stress Accelerated Life    
Abstract:
In this artic1e, the prob1em of multiple step–stress acce1erated 1ife tests when the 1ifetime follows the genera1ized exponentia1 distribution is considered based on type-I censoring scheme. The method of maximum likelihood is used to estimate the distribution parameters. Also, Bayes method is used to estimate the unknown parameters assuming independent gamma priors. The Bayes estimators are obtained under squared error loss function using Monte Carlo Integration. The performance of the different estimators are compared via a simulation by considering different samples sizes and different values of predetermined time.
    
     
 
       

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  • Hatem Elsayed Abdelwahied Semary, "أساليب التنقيب في البيانات: الطرق المعلمية واللامعلمية Data Mining Techniques: Parametric and Nonparametric Methods", معهد الدراسات والبحوث الاحصائية – جامعة القاهرة, 2012 More
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  • Mohamed Mousaad Elmadawy, "Estimate the Optimal Proportional Reinsurance Method in Property Insurance", كلية التجارة - جامعة المنصورة, 2018 More
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  • Osama Elsayed Eraky Mohamed Abokhasem, "Optimal sampling and statistical inferences for Kumaraswamy distribution under progressive Type-II censoring schemes", Nature Portfolio, 2023 More
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