Fitting a fixed regression model for daily gain of bulls using information criterion
Year | 2007 |
Cathegory | Scientific publication in impacted journals |
Internal link | 7038.pdf |
Abstract | In this study the model choice is demonstrated exemplarily on data of 6405 Czech Simmental bulls using information criterion. Per bull up to 8 observations were available for the trait daily gain. Because the animals showed different age on control day,the expected gain curves were described in the population and within the herd-year-season (HYS) classes by second, third or fourth orders Legendre polynomials of age. For optimization of the fixed effects and to choice the covariance structure of the repeated records the information criteria of Akaike (AlC), the Bayesian criteria (BIC) and the ICOMP-criteria were used. Within and over all covariance structures AIC selected generally the most complex model. On the other hand, BIC and ICOMP favoured a model with second order polynomials of age nested within the HYS classes. All criterion selected models with nested second order polynomials within the HYS classes in comparison to models with non-nested polynomials of age. |
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