Asymptotic results with generalized estimating equations for longitudinal data

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dc.creatorBalan, R. M.
dc.creatorSchiopu-Kratina, I.
dc.date2005-05-27
dc.date.accessioned2026-07-07T08:06:55Z
dc.date.available2026-07-07T08:06:55Z
dc.descriptionWe consider the marginal models of Liang and Zeger [Biometrika 73 (1986) 13-22] for the analysis of longitudinal data and we develop a theory of statistical inference for such models. We prove the existence, weak consistency and asymptotic normality of a sequence of estimators defined as roots of pseudo-likelihood equations.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053604000001255 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0505600
dc.identifierhttp://arxiv.org/abs/math/0505600
dc.identifierAnnals of Statistics 2005, Vol. 33, No. 2, 522-541
dc.identifierdoi:10.1214/009053604000001255
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130772
dc.subjectStatistics Theory
dc.subject62F12 (Primary) 62J12. (Secondary)
dc.titleAsymptotic results with generalized estimating equations for longitudinal data
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