Results 11 to 20 of about 739 (132)

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

Cumhuriyet 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

Efficiency evaluation for pooling resources in health care [PDF]

, 2012
Hospitals traditionally segregate resources into centralized functional departments such as diagnostic departments, ambulatory care centers, and nursing wards.
Boucherie, Richard J., Hans, Erwin W., Hurink, Johann L., Litvak, Nelly, Vanberkel, Peter T.   +4 more
core   +7 more sources

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

Journal 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, Muhammad Noor-ul-Amin, Maryam Sadiq, Md. Moyazzem Hossain   +3 more
doaj   +1 more source

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

Mathematics, 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, Al-Wageh A. Farghal, Ahmed A. Soliman   +2 more
doaj   +1 more source

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

Journal 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, Ali Al-Alwan, Muhammad Noor-ul-Amin, Shajib Ali, R. Alshenawy   +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

Statistica, 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, Taruna Kumari, Vijay Kumar Pandey   +2 more
doaj   +1 more source

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

Mathematics, 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

On the Sample Information About Parameter and Prediction [PDF]

, 2010
The Bayesian measure of sample information about the parameter, known as Lindley's measure, is widely used in various problems such as developing prior distributions, models for the likelihood functions and optimal designs.
Ehsan S. Soofi, Ehsan S. Soofi, Nader Ebrahimi, Nader Ebrahimi, Refik Soyer, Refik Soyer, Sheldon B. Lubar   +6 more
core   +1 more source

Bayes Estimator of Generalized-Exponential Parameters under Linex Loss Function Using Lindley's Approximation

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, Sanjay Kumar Singh, Umesh Singh, Gyan Prakash Singh   +3 more
doaj   +1 more source

Bayesian Estimation of Gumbel Type-II Distribution

Data Science Journal, 2013
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
doaj   +1 more source