A comparative study of estimators in multilevel linear models.

Multilevel Models are widely used in organizational research, educational research, epidemiology, psychology, biology and medical fields. In this paper, we recommend the situations where Bootstrap procedures through Minimum Norm Quadratic Unbiased Estimator (MINQUE) can be extremely handy than that...

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Autores principales: Sabz Ali, Said Ali Shah, Seema Zubair, Sundas Hussain
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/f9e75e3770494e2fb0c97a444b53de1f
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spelling oai:doaj.org-article:f9e75e3770494e2fb0c97a444b53de1f2021-12-02T20:12:48ZA comparative study of estimators in multilevel linear models.1932-620310.1371/journal.pone.0259960https://doaj.org/article/f9e75e3770494e2fb0c97a444b53de1f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259960https://doaj.org/toc/1932-6203Multilevel Models are widely used in organizational research, educational research, epidemiology, psychology, biology and medical fields. In this paper, we recommend the situations where Bootstrap procedures through Minimum Norm Quadratic Unbiased Estimator (MINQUE) can be extremely handy than that of Restricted Maximum Likelihood (REML) in multilevel level linear regression models. In our simulation study the bootstrap by means of MINQUE is superior to REML in conditions where normality does not hold. Moreover, the real data application also supports our findings in terms of accuracy of estimates and their standard errors.Sabz AliSaid Ali ShahSeema ZubairSundas HussainPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0259960 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Sabz Ali
Said Ali Shah
Seema Zubair
Sundas Hussain
A comparative study of estimators in multilevel linear models.
description Multilevel Models are widely used in organizational research, educational research, epidemiology, psychology, biology and medical fields. In this paper, we recommend the situations where Bootstrap procedures through Minimum Norm Quadratic Unbiased Estimator (MINQUE) can be extremely handy than that of Restricted Maximum Likelihood (REML) in multilevel level linear regression models. In our simulation study the bootstrap by means of MINQUE is superior to REML in conditions where normality does not hold. Moreover, the real data application also supports our findings in terms of accuracy of estimates and their standard errors.
format article
author Sabz Ali
Said Ali Shah
Seema Zubair
Sundas Hussain
author_facet Sabz Ali
Said Ali Shah
Seema Zubair
Sundas Hussain
author_sort Sabz Ali
title A comparative study of estimators in multilevel linear models.
title_short A comparative study of estimators in multilevel linear models.
title_full A comparative study of estimators in multilevel linear models.
title_fullStr A comparative study of estimators in multilevel linear models.
title_full_unstemmed A comparative study of estimators in multilevel linear models.
title_sort comparative study of estimators in multilevel linear models.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/f9e75e3770494e2fb0c97a444b53de1f
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