The Bayes Estimators of the Variance and Scale Parameters of the Normal Model With a Known Mean for the Conjugate and Noninformative Priors Under Stein’s Loss [PDF]
Frontiers in Big Data, 2022 For the normal model with a known mean, the Bayes estimation of the variance parameter under the conjugate prior is studied in Lehmann and Casella (1998) and Mao and Tang (2012).
Ying-Ying Zhang +5 more
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Bayes estimators for phylogenetic reconstruction. [PDF]
Syst Biol, 2011 Tree reconstruction methods are often judged by their accuracy, measured by how close they get to the true tree. Yet most reconstruction methods like ML do not explicitly maximize this accuracy. To address this problem, we propose a Bayesian solution.
Huggins PM +5 more
europepmc +5 more sources
Frequentist Standard Errors of Bayes Estimators. [PDF]
Comput Stat, 2017 Frequentist standard errors are a measure of uncertainty of an estimator, and the basis for statistical inferences. Frequestist standard errors can also be derived for Bayes estimators. However, except in special cases, the computation of the standard error of Bayesian estimators requires bootstrapping, which in combination with Markov chain Monte ...
Lee D, Carroll RJ, Sinha S.
europepmc +4 more sources
Bayesian estimation of the inverse Exponential Power distribution for COVID-19 case fatality analysis under SDG 3 [PDF]
Scientific ReportsIn 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
Robust Bayes-like estimation: Rho-Bayes estimation [PDF]
The Annals of Statistics, 2020 68 ...
Baraud, Yannick, Birgé, Lucien
openaire +6 more sources
Inference on P(X < Y) in Bivariate Lomax model based on progressive type II censoring.
PLoS 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
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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
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 +2 more
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A Note on the Bayes Estimation of Reliability for the Inverse Gaussian Distribution [PDF]
The Egyptian Statistical Journal, 1986 Bayes estimators of the reliability function of the inverse Gaussian distribution are obtained when λ, the scale parameter is known. The Bayes estimators are compared with the maximum likelihood and minimum variance unbiased estimators of reliability ...
S. Shaban
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Bayesian Estimation Based on Progressively Type-II Censored Samples from Compound Rayleigh Distribution [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 This paper considers inference under progressive type-II censoring scheme with a compound Rayleigh failure time distribution. The maximum likelihood (ML) and the Bayes estimators for the two unknown parameters of the compound Rayleigh distribution (CRD ...
Rashad Mohamed EL-Sagheer +1 more
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