Reference : Dynamic generalized linear models and repeated measurements

	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Mathematics
	To cite this reference:	http://hdl.handle.net/2268/24527

Title :	Dynamic generalized linear models and repeated measurements
Language :	English
Author, co-author :	Lindsey, James [Université de Liège - ULg > Institut des sciences humaines et sociales > Institut des sciences humaines et sociales >]
	Lambert, Philippe [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
Publication date :	1995
Journal title :	Journal of Statistical Planning & Inference
Publisher :	Elsevier Science
Volume :	47
Pages :	129-139
Audience :	International
ISSN :	0378-3758
Keywords :	[en] Generalized linear model ; Autoregressive model ; Repeated measurement ; Kalman filter
Abstract :	[en] The dynamic generalized linear model for non-normal data is extended for use in repeated measurements, when series of observations are available for more than one individual. Examples are given for count and duration data.
Permalink :	http://hdl.handle.net/2268/24527

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