Reference : Modelling Irregularly Sampled Profiles of Non-Negative Dog Triglyceride Responses under ...

	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Veterinary medicine & animal health Physical, chemical, mathematical & earth Sciences : Mathematics
	To cite this reference:	http://hdl.handle.net/2268/24287

Title :	Modelling Irregularly Sampled Profiles of Non-Negative Dog Triglyceride Responses under Different Distributional Assumptions
Language :	English
Author, co-author :	Lambert, Philippe [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
Publication date :	15-Aug-1996
Journal title :	Statistics in Medicine
Volume :	15
Issue/season :	15
Pages :	1695-708
Audience :	International
ISSN :	0277-6715
Abstract :	[en] General methodology for modelling series of non-negative data observed at unequally spaced times is developed. The parameterization enables both the importance of the serial association, as well the 'order' of this dependence to be expressed. An example is given where the effects of three fibre based diets on dog triglyceride profiles are analysed and compared. Many different types of models based on common distributions such as the normal, exponential, gamma, Weibull and log-normal observations are presented. Comparison of possibly non-nested models fitted on the same data set is made using the Akaike criterion.
Permalink :	http://hdl.handle.net/2268/24287
DOI :	10.1002/(SICI)1097-0258(19960815)15:15<1695::AID-SIM320>3.0.CO;2-8

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