Article (Scientific journals)
Modelling irregularly sampled profiles of nonnegative dog triglyceride responses under different distributional assumptions
Lambert, Philippe
1996In Statistics in Medicine, 15, p. 1695-1708
Peer Reviewed verified by ORBi
 

Files


Full Text
Lambert_SiM1996.pdf
Publisher postprint (737.57 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



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.
Disciplines :
Veterinary medicine & animal health
Mathematics
Author, co-author :
Lambert, Philippe  ;  Université de Liège - ULiège > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales
Language :
English
Title :
Modelling irregularly sampled profiles of nonnegative dog triglyceride responses under different distributional assumptions
Publication date :
1996
Journal title :
Statistics in Medicine
ISSN :
0277-6715
eISSN :
1097-0258
Publisher :
John Wiley & Sons, Hoboken, United States - New Jersey
Volume :
15
Pages :
1695-1708
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 29 September 2009

Statistics


Number of views
51 (1 by ULiège)
Number of downloads
0 (0 by ULiège)

Scopus citations®
 
16
Scopus citations®
without self-citations
15
OpenCitations
 
17

Bibliography


Similar publications



Contact ORBi