A note on conjugate Bayesian estimators of random effects model

The theoretical findings for the Bayes random effects model and the Bayes random effects model with linear constraints on the model coefficients are the contribution of this study. We take into account the random effect model, which includes both fixed and random effects in addition to the experimen...

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Main Authors: Mohaisen Ameera Jaber, AL-Mouel Abdul-Hussein Saber, Abdulsamad Saja Yaseen
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:BIO Web of Conferences
Online Access:https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00147.pdf
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author Mohaisen Ameera Jaber
AL-Mouel Abdul-Hussein Saber
Abdulsamad Saja Yaseen
author_facet Mohaisen Ameera Jaber
AL-Mouel Abdul-Hussein Saber
Abdulsamad Saja Yaseen
author_sort Mohaisen Ameera Jaber
collection DOAJ
description The theoretical findings for the Bayes random effects model and the Bayes random effects model with linear constraints on the model coefficients are the contribution of this study. We take into account the random effect model, which includes both fixed and random effects in addition to the experimental error term. We sought to offer a detailed examination of some characteristics of the Bayes and restricted Bayes estimators of the model in addition to applying the Bayesian approach to draw conclusions about the model using a conjugate prior distribution.
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spelling doaj.art-c61aeae816344c0d8c03328ac892a0802024-04-12T07:36:22ZengEDP SciencesBIO Web of Conferences2117-44582024-01-01970014710.1051/bioconf/20249700147bioconf_iscku2024_00147A note on conjugate Bayesian estimators of random effects modelMohaisen Ameera Jaber0AL-Mouel Abdul-Hussein Saber1Abdulsamad Saja Yaseen2Department of Mathematics, College of Education for Pure Science, AL-Basrah UniversityDepartment of Mathematics, College of Education for Pure Science, AL-Basrah UniversityDepartment of Mathematics, College of Education for Pure Science, AL-Basrah UniversityThe theoretical findings for the Bayes random effects model and the Bayes random effects model with linear constraints on the model coefficients are the contribution of this study. We take into account the random effect model, which includes both fixed and random effects in addition to the experimental error term. We sought to offer a detailed examination of some characteristics of the Bayes and restricted Bayes estimators of the model in addition to applying the Bayesian approach to draw conclusions about the model using a conjugate prior distribution.https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00147.pdf
spellingShingle Mohaisen Ameera Jaber
AL-Mouel Abdul-Hussein Saber
Abdulsamad Saja Yaseen
A note on conjugate Bayesian estimators of random effects model
BIO Web of Conferences
title A note on conjugate Bayesian estimators of random effects model
title_full A note on conjugate Bayesian estimators of random effects model
title_fullStr A note on conjugate Bayesian estimators of random effects model
title_full_unstemmed A note on conjugate Bayesian estimators of random effects model
title_short A note on conjugate Bayesian estimators of random effects model
title_sort note on conjugate bayesian estimators of random effects model
url https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00147.pdf
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