Results 11 to 20 of about 165 (146)
This paper explores the optimal censoring schemes from models with U-shaped hazard rates (USHRs) using Bayesian methods. Topp-Leone (TL) distribution has been considered as a special case.
Navid Feroze +3 more
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Bayesian Estimation of Gumbel Type-II Distribution
In this paper we consider the Bayesian estimators for the unknown parameters of Gumbel type-II distribution. The Bayesian estimators cannot be obtained in closed forms.
Kamran Abbas, Jiayu Fu, Yincai Tang
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Estimation of Generalized Gompertz Distribution Parameters under Ranked-Set Sampling
This paper studies estimation of the parameters of the generalized Gompertz distribution based on ranked-set sample (RSS). Maximum likelihood (ML) and Bayesian approaches are considered.
Mohammed Obeidat +2 more
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We consider here the generalization of the Bilal distribution proposed by Abd-Elrahman (2017) by zeroing in on two measures of reliability, R(t) and P, based on type II censoring. We obtain point estimators namely, λ and θ, of the above said distribution,
Ajit Chaturvedi +2 more
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The Topp Leone distribution (TLD) is a lifetime model having finite support and U-shaped hazard rate; these features distinguish it from the famous lifetime models such as gamma, Weibull, or Log-normal distribution.
Navid Feroze +4 more
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The challenge of estimating the parameters for the inverse Weibull (IW) distribution employing progressive censoring Type-I (PCTI) will be addressed in this study using Bayesian and non-Bayesian procedures.
Ali Algarni +4 more
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Estimating the Entropy of a Weibull Distribution under Generalized Progressive Hybrid Censoring
Recently, progressive hybrid censoring schemes have become quite popular in a life-testing problem and reliability analysis. However, the limitation of the progressive hybrid censoring scheme is that it cannot be applied when few failures occur before ...
Youngseuk Cho, Hokeun Sun, Kyeongjun Lee
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Comparison of different estimation methods for extreme value distribution. [PDF]
The extreme value distribution was developed for modeling extreme-order statistics or extreme events. In this study, we discuss the distribution of the largest extreme.
Yılmaz A, Kara M, Özdemir O.
europepmc +2 more sources
Bayesian Analysis for the Modified Frechet–Exponential Distribution with Covid-19 Application
In this manuscript, the maximum likelihood estimators and Bayes estimators for the parameters of the modified Frechet–exponential distribution. Because the Bayes estimators cannot be obtained in closed forms, the approximate Bayes estimators are computed
Neriman Akdam
doaj +1 more source
In this article, the estimation of the parameters and the reliability and hazard functions for Weibull inverted exponential (WIE) distribution is considered based on progressive first-failure censoring (PFFC) data.
Abdullah Fathi +2 more
doaj +1 more source

