Results 21 to 30 of about 946,554 (172)

Bayesian Analysis for the Modified Frechet–Exponential Distribution with Covid-19 Application

open access: yesCumhuriyet Science Journal, 2023
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

Bayes Estimators of Exponentiated Inverse Rayleigh Distribution using Lindleys Approximation

open access: yesAsian Research Journal of Mathematics, 2021
In this paper, Bayes estimators of the unknown shape and scale parameters of the Exponentiated Inverse Rayleigh Distribution (EIRD) have been derived using both the frequentist and bayesian methods. The Bayes theorem was adopted to obtain the posterior distribution of the shape and scale parameters of an Exponentiated Inverse Rayleigh Distribution ...
Kafayat Tolani Uthman   +2 more
openaire   +2 more sources

On Optimal Progressive Censoring Schemes from Models with U-Shaped Hazard Rate: A Comparison between Conventional and Fuzzy Priors

open access: yesJournal of Function Spaces, 2022
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
doaj   +1 more source

Bayesian and Non-Bayesian Inference for Weibull Inverted Exponential Model under Progressive First-Failure Censoring Data

open access: yesMathematics, 2022
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

Bayes estimators of Weibull -Lindley Rayleigh distribution parameters using Lindley's approximation [PDF]

open access: yes, 2021
For The Weibull Lindley Rayleigh distribution (WLRD) we have obtained the Bayes Estimators of scale and shape parameters using Lindley's approximation (L-approximation) under square error loss function.
et. al., Hind Adnan,
core   +2 more sources

Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring

open access: yesMathematics, 2022
This paper discusses statistical inference and optimal design of constant-stress accelerated life testing for the Chen distribution under progressive Type-II censoring.
Wenjie Zhang, Wenhao Gui
doaj   +1 more source

Bayesian Approximation Techniques for the Generalized Inverted Exponential Distribution

open access: yesIntelligent Automation and Soft Computing, 2022
In this article, Bayesian techniques are adopted to estimate the shape parameter of the generalized inverted exponential distribution (GIED) in the case of complete samples.
R. A. Bakoban, Maha A. Aldahlan
semanticscholar   +1 more source

Bayesian Estimation for Exponentiated Gamma Distribution Under Progressive Type-II Censoring Using Different Approximation Techniques

open access: yesJournal of Data Science, 2021
In this paper, we proposed the Bayesian estimation of the parameter and reliability function in exponentiated gamma distribution under progressive type-II censored samples.
S. Singh, U. Singh, A. Yadav
semanticscholar   +1 more source

Bayesian Estimation for the Doubly Censored Topp Leone Distribution using Approximate Methods and Fuzzy Type of Priors

open access: yesJournal of Function Spaces, 2022
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
doaj   +1 more source

On the Estimation of Parameters and Reliability Functions of a New Two-Parameter Lifetime Distribution based on Type II Censoring

open access: yesStatistica, 2021
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
doaj   +1 more source

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