Estimation of the Inverse Weibull Distribution Parameters under Type-I Hybrid Censoring
Austrian 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
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Statistical Inference on Simple Step-Stress Accelerated Life Testing for Gompertz Distribution Under .Progressive Type-II Censoring [PDF]
Maǧallaẗ Al-Buḥūṯ Al-TiǧāriyyaẗWe 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
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Estimation of Generalized Gompertz Distribution Parameters under Ranked-Set Sampling
Journal 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
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ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE [PDF]
Assiut 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 ...
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Comparisons of Methods of Estimation for a New Pareto-type Distribution
Statistica, 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
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On a design consistency property of hierarchical Bayes estimators in finite population samplings. [PDF]
, 2007 We obtain a limit of a hierarchical Bayes estimator of a finite population mean when the sample size is large. The limit is in the sense of ordinary calculus, where the sample observations are treated as fixed quantities. Our result suggests a simple way
Lahiri, P, Mukherjee, Kanchan
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Maximum a posteriori estimators as a limit of Bayes estimators [PDF]
Mathematical 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
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Nonparametric Bayes-risk estimation [PDF]
IEEE Transactions on Information Theory, 1971 Two nonparametric methods to estimate the Bayes risk using classified sample sets are described and compared. The first method uses the nearest neighbor error rate as an estimate to bound the Bayes risk. The second method estimates the Bayes decision regions by applying Parzen probability-density function estimates and counts errors made using these ...
Stanley C. Fralick, Richard W. Scott
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Applying Bayes linear methods to support reliability procurement decisions [PDF]
, 2008 Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Bedford, Tim +3 more
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A Comparative Study on the Estimation of the Parameters of the Markovian Processes- II [PDF]
The Egyptian Statistical Journal, 1983 Consider the stationary autoregressive process with order one and non-zero mean. The weight parameter is taken to be priori distributed as uniform, standard normal and normal with zero mean. The Bayes' estimates are obtained and compared with conditional
A.A. Abd-Alla, A.M. Abouammoh
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