|Reference : Modelling Irregularly Sampled Profiles of Non-Negative Dog Triglyceride Responses under ...|
|Scientific journals : Article|
|Life sciences : Veterinary medicine & animal health|
Physical, chemical, mathematical & earth Sciences : Mathematics
|Modelling Irregularly Sampled Profiles of Non-Negative Dog Triglyceride Responses under Different Distributional Assumptions|
|Lambert, Philippe [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]|
|Statistics in Medicine|
|[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.|
There is no file associated with this reference.
All documents in ORBi are protected by a user license.