Gaussian estimation of regression and correlation parameters in longitudinal data

dc.contributor.author	Al-Rawwash, M.
dc.contributor.author	Pourahmadi, M.
dc.date.accessioned	2018-07-26T10:15:37Z
dc.date.available	2018-07-26T10:15:37Z
dc.date.issued	2013
dc.identifier.issn	1815-3852
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/984
dc.description.abstract	The moment estimate of the correlation parameters using generalized estimating equations (GEE) is not guaranteed to exist or to be feasible. We introduce the Gaussian estimation method and show that the estimate of the correlation parameters in longitudinal data setup is asymptotically unbiased and feasible. We derive the large sample properties of the regression and correlation estimates and we illustrate these estimators via real life data example.	en_US
dc.language.iso	en	en_US
dc.publisher	University of Bahrain	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.subject	Covariance matrix
dc.subject	Generalized least squares
dc.subject	Gaussian estimation
dc.subject	Generalized estimating equations
dc.subject	Longitudinal data
dc.title	Gaussian estimation of regression and correlation parameters in longitudinal data	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1016/j.jaubas.2012.07.003
dc.source.title	Arab Journal of Basic and Applied Sciences
dc.abbreviatedsourcetitle	AJBAS