Modelling irregularly sampled profiles of nonnegative dog triglyceride responses under different distributional assumptions
1996
Lambert, Philippe
anglais. peer reviewed
Afficher plus [+] Moins [-]anglais. 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.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par University of Liège
Découvrez la collection de ce fournisseur de données dans AGRIS