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Bahadur representations of M-estimators and their applications in general linear models
Consider the linear regression model [Formula: see text] where [Formula: see text] are general dependence errors. The Bahadur representations of M-estimators of the parameter β are given, by which asymptotically the theory of M-estimation in linear regression models is unified. As applications, the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978921/ https://www.ncbi.nlm.nih.gov/pubmed/30137866 http://dx.doi.org/10.1186/s13660-018-1715-x |
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author | Hu, Hongchang |
author_facet | Hu, Hongchang |
author_sort | Hu, Hongchang |
collection | PubMed |
description | Consider the linear regression model [Formula: see text] where [Formula: see text] are general dependence errors. The Bahadur representations of M-estimators of the parameter β are given, by which asymptotically the theory of M-estimation in linear regression models is unified. As applications, the normal distributions and the rates of strong convergence are investigated, while [Formula: see text] are m-dependent, and the martingale difference and [Formula: see text] -weakly dependent. |
format | Online Article Text |
id | pubmed-5978921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-59789212018-06-21 Bahadur representations of M-estimators and their applications in general linear models Hu, Hongchang J Inequal Appl Research Consider the linear regression model [Formula: see text] where [Formula: see text] are general dependence errors. The Bahadur representations of M-estimators of the parameter β are given, by which asymptotically the theory of M-estimation in linear regression models is unified. As applications, the normal distributions and the rates of strong convergence are investigated, while [Formula: see text] are m-dependent, and the martingale difference and [Formula: see text] -weakly dependent. Springer International Publishing 2018-05-22 2018 /pmc/articles/PMC5978921/ /pubmed/30137866 http://dx.doi.org/10.1186/s13660-018-1715-x Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Hu, Hongchang Bahadur representations of M-estimators and their applications in general linear models |
title | Bahadur representations of M-estimators and their applications in general linear models |
title_full | Bahadur representations of M-estimators and their applications in general linear models |
title_fullStr | Bahadur representations of M-estimators and their applications in general linear models |
title_full_unstemmed | Bahadur representations of M-estimators and their applications in general linear models |
title_short | Bahadur representations of M-estimators and their applications in general linear models |
title_sort | bahadur representations of m-estimators and their applications in general linear models |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978921/ https://www.ncbi.nlm.nih.gov/pubmed/30137866 http://dx.doi.org/10.1186/s13660-018-1715-x |
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