Results 11 to 20 of about 2,617,552 (333)
On general maximum likelihood empirical Bayes estimation of heteroscedastic IID normal means
Electronic Journal of Statistics, 2020 : We propose a general maximum likelihood empirical Bayes (GMLEB) method for the heteroscedastic normal means estimation with known variances. The idea is to plug the generalized maximum likelihood estimator in the oracle Bayes rule.
Wenhua Jiang
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Jurnal Matematika UNAND, 2020 Penelitian ini membahas tentang pendugaan parameter µ dari distribusi LogNormal dengan σ 2 diketahui. Penelitian ini menggunakan metode Maximum Likelihood Estimation (MLE) dan metode Bayes dengan prior konjugat.
INDAH PRATIWI +2 more
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Estimation of Entropy for Weibull Distribution Based on Record Values
Journal of Statistical Theory and Applications (JSTA), 2021 In this paper, estimation of entropy for Weibull distribution based on record values is considered. Maximum likelihood estimation and Bayes estimation for Shannon entropy and Renyi entropy have been considered based on record values. Bayes estimators are
Manoj Chacko, P. S. Asha
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Bayes Estimators for Phylogenetic Reconstruction [PDF]
Systematic Biology, 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, Peter +5 more
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An improved Bayes empirical Bayes estimator [PDF]
International Journal of Mathematics and Mathematical Sciences, 2003 Consider an experiment yielding an observable random quantity X whose distribution Fθ depends on a parameter θ with θ being distributed according to some distribution G0. We study the Bayesian estimation problem of θ under squared error loss function based on X, as well as some additional data available from other similar experiments according to an ...
R. J. Karunamuni, N. G. N. Prasad
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Some bayes estimation startegies in exponential distribution under a weighted loss function [PDF]
Journal of Hyperstructures, 2018 In Bayesian approach, prior knowledge is often vague and any elicited prior distribution is only an approximation to the true one. E-Bayes and robust Bayes approaches consider a class of prior distributions instead of a single prior.
A. Kiapour, mehran naghizadeh qomi
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Bayesian Estimation of System Reliability Models Using Monte-Carlo Technique of Simulation
Journal of Statistical Theory and Applications (JSTA), 2021 This paper discusses the problem of how Monte-Carlo simulation method is deal with Bayesian estimation of reliability of system of n s-independent two-state component.
Kirti Arekar, Rinku Jain, Surender Kumar
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E-Jurnal Matematika, 2013 Small area is an area with insufficient sample for direct estimation. Limited survey objects, cause direct estimation can not produce better parameter estimates.
PUTU EKA ARIWIJAYANTHI +2 more
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Metode Bayes Empirik untuk Memodelkan Data Cacahan dengan Peubah Penyerta pada Pendugaan Area Kecil
Jurnal Matematika UNAND, 2019 Metode Bayes Empirik merupakan suatu metode pada Small Area Estimation(SAE) yang menggunakan metode Bayes dalam pendugaan parameternya. Small Area Estimation(SAE) didefinisikan sebagai suatu teknik statistika untuk menduga parameter-parameter subpopulasi
Nadia Cindi Eka Putri +2 more
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On Consistency of the Bayes Estimator of the Density
Mathematics, 2022 Under mild conditions, strong consistency of the Bayes estimator of the density is proved. Moreover, the Bayes risk (for some common loss functions) of the Bayes estimator of the density (i.e., the posterior predictive density) goes to zero as the sample
Agustín G. Nogales
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