Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data
Joint Authors
Source
Journal of Probability and Statistics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-29
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xia, Yafeng& Da, Hu. 2013. Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data. Journal of Probability and Statistics،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-499626
Modern Language Association (MLA)
Xia, Yafeng& Da, Hu. Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data. Journal of Probability and Statistics No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-499626
American Medical Association (AMA)
Xia, Yafeng& Da, Hu. Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data. Journal of Probability and Statistics. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-499626
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499626