Inference on P(X < Y) in Bivariate Lomax model based on progressive type II censoring. [PDF]
PLoS ONE, 2022 This article considers the estimation of the stress-strength reliability parameter, θ = P(X < Y), when both the stress (X) and the strength (Y) are dependent random variables from a Bivariate Lomax distribution based on a progressive type II censored ...
Amal Helu, Hani Samawi
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Data Science Journal, 2008 In this paper, we have obtained the Bayes Estimator of Generalized-Exponential scale and shape parameter using Lindley's approximation (L-approximation) under asymmetric loss functions.
Rahul Singh +3 more
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A Computational Bayesian Framework for Entropy-Based Inference in the Inverse Gaussian Distribution Under Progressive Type-II Censoring [PDF]
EntropyEstimating entropy measures under progressive censoring poses a significant challenge in reliability and lifetime analysis. Despite the widespread use of the inverse Gaussian distribution in modeling skewed lifetime data, a comprehensive inferential ...
Mohamed A. T. El-Shahat +4 more
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Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme [PDF]
Entropy, 2021 Entropy measures the uncertainty associated with a random variable. It has important applications in cybernetics, probability theory, astrophysics, life sciences and other fields. Recently, many authors focused on the estimation of entropy with different
Xiaolin Shi, Yimin Shi, Kuang Zhou
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Inference for multicomponent stress-strength reliability based on generalized Lindley distribution [PDF]
Scientific ReportsThis paper explores the classical and Bayesian estimation of multicomponent stress strength reliability when both the stress and strength variables follow the generalized Lindley distribution. The maximum likelihood (ML) and Bayesian methods are utilized
Fatma Gül Akgül
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Applicability of modified weibull extension distribution in modeling censored medical datasets: a bayesian perspective [PDF]
Scientific Reports, 2022 There are some contributions analyzing the censored medical datasets using modifications of the conventional lifetime distribution; however most of the said contributions did not considered the modification of the Weibull distribution (WD).
Navid Feroze +7 more
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Bayesian Inference for the Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring [PDF]
Entropy, 2020 Incomplete data are unavoidable for survival analysis as well as life testing, so more and more researchers are beginning to study censoring data.
Jiayi Tu, Wenhao Gui
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Reliability inference for multi-component stress-strength systems with heterogeneous Lomax-distributed components under progressive censoring [PDF]
Scientific ReportsIn this paper, the m-component stress-strength parameter is considered under progressive first failure (PFF) censoring scheme, assuming the stress and strength variables follow the Lomax distribution.
Akram Kohansal +2 more
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Bayesian estimation of the inverse Exponential Power distribution for COVID-19 case fatality analysis under SDG 3 [PDF]
Scientific ReportsIn this study, the maximum likelihood estimators (MLEs) and Bayes estimators for the shape and scale parameters of Inverse Exponential Power (IEP) distribution are derived.
Neriman Akdam +4 more
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Estimating [Formula: see text] distribution parameters under Type II progressive censoring using particle swarm optimization. [PDF]
PLoS ONEIn this article, the effect of the parameters in the properties of a well-known distribution called q-extended extreme value with linear normalization is discussed.
Rasha Abd El-Wahab Attwa +2 more
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