Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data
Block empirical likelihood inference for semiparametric varying-coeffcient partially linear errors-in-variables models with longitudinal data is investigated. We apply the block empirical likelihood procedure to accommodate the within-group correlation of the longitudinal data. The block empirical l...
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Language: | English |
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Wiley
2013-01-01
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Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2013/807135 |
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author | Yafeng Xia Hu Da |
author_facet | Yafeng Xia Hu Da |
author_sort | Yafeng Xia |
collection | DOAJ |
description | Block empirical likelihood inference for semiparametric varying-coeffcient partially linear errors-in-variables models with longitudinal data is investigated. We apply the block empirical likelihood procedure to accommodate the within-group correlation of the longitudinal data. The block empirical log-likelihood ratio statistic for the parametric component is suggested. And the nonparametric version of Wilk’s theorem is derived under mild conditions. Simulations are carried out to access the performance of the proposed procedure. |
format | Article |
id | doaj-art-ca0dfe54717a49349960c0bfea7bab67 |
institution | Kabale University |
issn | 1687-952X 1687-9538 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Probability and Statistics |
spelling | doaj-art-ca0dfe54717a49349960c0bfea7bab672025-02-03T06:06:06ZengWileyJournal of Probability and Statistics1687-952X1687-95382013-01-01201310.1155/2013/807135807135Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal DataYafeng Xia0Hu Da1School of Science, Lanzhou University of Technology, Lanzhou, Gansu 730050, ChinaSchool of Science, Lanzhou University of Technology, Lanzhou, Gansu 730050, ChinaBlock empirical likelihood inference for semiparametric varying-coeffcient partially linear errors-in-variables models with longitudinal data is investigated. We apply the block empirical likelihood procedure to accommodate the within-group correlation of the longitudinal data. The block empirical log-likelihood ratio statistic for the parametric component is suggested. And the nonparametric version of Wilk’s theorem is derived under mild conditions. Simulations are carried out to access the performance of the proposed procedure.http://dx.doi.org/10.1155/2013/807135 |
spellingShingle | Yafeng Xia Hu Da Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data Journal of Probability and Statistics |
title | Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data |
title_full | Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data |
title_fullStr | Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data |
title_full_unstemmed | Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data |
title_short | Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data |
title_sort | block empirical likelihood for semiparametric varying coefficient partially linear errors in variables models with longitudinal data |
url | http://dx.doi.org/10.1155/2013/807135 |
work_keys_str_mv | AT yafengxia blockempiricallikelihoodforsemiparametricvaryingcoefficientpartiallylinearerrorsinvariablesmodelswithlongitudinaldata AT huda blockempiricallikelihoodforsemiparametricvaryingcoefficientpartiallylinearerrorsinvariablesmodelswithlongitudinaldata |