AIC-Based Selection of Growth Models: The Case of Piglets from Organic Farming

Autor:	Katharina Renner-Martin, Werner Hagmüller, Norbert Brunner, Manfred Kühleitner
Rok vydání:	2016
Předmět:	Geography Statistics Organic farming Econometrics medicine Weaning Growth model Akaike information criterion medicine.symptom Von bertalanffy Growth curve (statistics) Weight gain Selection (genetic algorithm)
Zdroj:	Open Journal of Modelling and Simulation. :17-23
ISSN:	2327-4026 2327-4018
DOI:	10.4236/ojmsi.2016.42002
Popis:	The selection and comparison of different growth models for describing weight gain of piglets raised in organic farming is investigated by using the Akaike’s Information Criterion (AIC). In total, 49,699 data points of 5188 piglets recorded between 2007 and 2013 were considered. From the day of birth, up to 40 days (i.e. until weaning) the model of von Bertalanffy was favored by the AIC. This model is with 60.32% more likely to truly reflect reality than any other of the analyzed models. Up to 105 days, the two-linear model was favored by the AIC (probability 99.75%). The intersection point of the two-linear model was calculated by 53.8 days, which fitted well to the actual change in the food situations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bd9818c73eea720b8e8c7ba23ad8127f https://doi.org/10.4236/ojmsi.2016.42002 Zobrazit plný text záznamu