Results 31 to 40 of about 55,741 (307)

Estimation of the Inverse Weibull Distribution Parameters under Type-I Hybrid Censoring

open access: yesAustrian Journal of Statistics, 2021
The hybrid censoring is a mixture of type-I and type-II censoring schemes. This paper presents the statistical inferences of the inverse Weibull distribution parameters when the data are type-I hybrid censored.
Mohammad Kazemi, Mina Azizpoor
doaj  

Statistical Inference on Simple Step-Stress Accelerated Life Testing for Gompertz Distribution Under .Progressive Type-II Censoring [PDF]

open access: yesMaǧallaẗ Al-Buḥūṯ Al-Tiǧāriyyaẗ
We consider a simple step-stress model under the Gompertz distribution (GD) when the available data are type-II progressive censored. The cumulative exposure model is assumed when the lifetime of test units follows a Gompertz distribution.
السيد وليد شعبان عبدالمنتصر   +2 more
doaj   +1 more source

Estimation of Generalized Gompertz Distribution Parameters under Ranked-Set Sampling

open access: yesJournal of Probability and Statistics, 2020
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
doaj   +1 more source

ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE [PDF]

open access: yesAssiut University Journal of Multidisciplinary Scientific Research, 2018
In this article, constant partially accelerated life tests are considered. Based on a progressive first-failure censoring scheme, the maximum likelihood and the Bayes estimates for the parameters of the Weibull-Geometric distribution as well as the ...
doaj   +1 more source

Maximum a posteriori estimators as a limit of Bayes estimators [PDF]

open access: yesMathematical Programming, 2018
Maximum a posteriori and Bayes estimators are two common methods of point estimation in Bayesian Statistics. It is commonly accepted that maximum a posteriori estimators are a limiting case of Bayes estimators with 0-1 loss. In this paper, we provide a counterexample which shows that in general this claim is false.
Robert L. Bassett, Julio Deride
openaire   +3 more sources

Comparisons of Methods of Estimation for a New Pareto-type Distribution

open access: yesStatistica, 2019
Bourguignon et al. (2016) introduced a new Pareto-type distribution to model income and reliability data. The aim of this paper is to estimate the parameters of this distribution from both frequentist and Bayesian view points.
Ali Saadati Nik   +2 more
doaj   +1 more source

Estimating Bayes factors via thermodynamic integration and population MCMC [PDF]

open access: yes, 2009
A Bayesian approach to model comparison based on the integrated or marginal likelihood is considered, and applications to linear regression models and nonlinear ordinary differential equation (ODE) models are used as the setting in which to elucidate and
Calderhead, B., Girolami, M.
core   +1 more source

Bayesian and E-Bayesian estimation based on constant-stress partially accelerated life testing for inverted Topp–Leone distribution

open access: yesOpen Physics, 2023
Accelerated or partially accelerated life tests are particularly significant in life testing experiments since they save time and cost. Partially accelerated life tests are carried out when the data from accelerated life testing cannot be extrapolated to
Al Mutairi Aned   +5 more
doaj   +1 more source

Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants

open access: yes, 2008
Many reliability databases pool event data for equipment across different plants. Pooling may occur both within and between organizations with the intention of sharing data across common items within similar operating environments to provide better ...
K. Hutchison   +7 more
core   +1 more source

Universal Bayes Estimators

open access: yesThe Annals of Statistics, 1978
Let $x_1, \cdots, x_n$ be i.i.d. random variables with a distribution depending on the real parameter. Under what conditions is a generalized Bayes estimator independent of the choice of the even loss function? The known answer to this question is that this independence holds if the posterior density is symmetric and unimodal.
openaire   +3 more sources

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