Results 1 to 10 of about 698 (93)

Inference on P(X < Y) in Bivariate Lomax model based on progressive type II censoring. [PDF]

open access: yesPLoS 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
doaj   +3 more sources

Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme [PDF]

open access: yesEntropy, 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
doaj   +2 more sources

Inference for multicomponent stress-strength reliability based on generalized Lindley distribution [PDF]

open access: yesScientific Reports
This 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
doaj   +2 more sources

Applicability of modified weibull extension distribution in modeling censored medical datasets: a bayesian perspective [PDF]

open access: yesScientific 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
doaj   +2 more sources

Bayesian Inference for the Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring [PDF]

open access: yesEntropy, 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
doaj   +2 more sources

Reliability inference for multi-component stress-strength systems with heterogeneous Lomax-distributed components under progressive censoring [PDF]

open access: yesScientific Reports
In 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
doaj   +2 more sources

Bayesian estimation of the inverse Exponential Power distribution for COVID-19 case fatality analysis under SDG 3 [PDF]

open access: yesScientific Reports
In 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
doaj   +2 more sources

Estimating [Formula: see text] distribution parameters under Type II progressive censoring using particle swarm optimization. [PDF]

open access: yesPLoS ONE
In 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
doaj   +2 more sources

Estimating the Parameters of Burr Type XII Distribution with Fuzzy Observations

open access: yesRevstat Statistical Journal, 2023
In this article, the classical as well as the Bayesian estimation problems of two-parameter Burr type XII distribution based on fuzzy data are considered.
Abbas Abdul Hussein , Riyadh Al-Mosawi
doaj   +1 more source

Comparison of Approximation Methods for the Estimation of Distributions in the Analysis of the G/G/1 Queue [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2019
The analysis of Weibull and Pareto distribution functions in the approximation of the density of a sum of damping functions, PMRQ approximation and approximation of service distribution in the peak mode of the flow.
O. Karaulova   +3 more
doaj   +1 more source

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