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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Public Library of Science (PLoS)
2021
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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) |
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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 |
work_keys_str_mv |
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