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   Articles with "bayes estimators" as a keyword



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Empirical Bayes estimators in hierarchical models with mixture priors

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recommendations! Published in 2018 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2018.1450364

Abstract: ABSTRACT We consider subgroup analyses within the framework of hierarchical modeling and empirical Bayes (EB) methodology for general priors, thereby generalizing the normal–normal model. By doing this one obtains greater flexibility in modeling. We focus… read more here.

Keywords: estimators hierarchical; methodology; empirical bayes; bayes estimators ... See more keywords

Three strings of inequalities among six Bayes estimators

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recommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2017.1335411

Abstract: ABSTRACT We discover three interesting strings of inequalities among six Bayes estimators, where for the parameter space (0, 1), (0, ∞), and ( − ∞, ∞), each case has a string of inequalities. The three… read more here.

Keywords: inequalities among; bayes estimators; strings inequalities; three strings ... See more keywords

Priors for second-order unbiased Bayes estimators

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recommendations! Published in 2024 at "Biometrika"

DOI: 10.1093/biomet/asaf068

Abstract: Asymptotically unbiased priors, introduced by Hartigan (1965), are designed to achieve second-order unbiasedness of Bayes estimators. This paper extends Hartigan’s framework to non-independent-and-identically-distributed models by deriving a system of partial differential equations that characterizes asymptotically… read more here.

Keywords: asymptotically unbiased; second order; bayes estimators; regression model ... See more keywords

Inference on P(X < Y) in Bivariate Lomax model based on progressive type II censoring

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recommendations! Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0267981

Abstract: 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… read more here.

Keywords: based progressive; progressive type; bivariate lomax; bayes estimators ... See more keywords

Improved Bayes estimators and prediction for the Wilson-Hilferty distribution.

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recommendations! Published in 2019 at "Anais da Academia Brasileira de Ciencias"

DOI: 10.1590/0001-3765201920190002

Abstract: In this paper, we revisit the Wilson-Hilferty distribution and presented its mathematical properties such as the r-th moments and reliability properties. The parameters estimators are discussed using objective reference Bayesian analysis for both complete and… read more here.

Keywords: bayes estimators; wilson hilferty; improved bayes; hilferty distribution ... See more keywords