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Bayesian outlier analysis in binary regression
(Routledge Journals, Taylor & Francis Ltd, 2010-01-01)
We propose alternative approaches to analyze residuals in binary regression models based on random effect components. Our preferred model does not depend upon any tuning parameter, being completely automatic. Although the ...
Bayesian outlier analysis in binary regression
(Routledge Journals, Taylor & Francis Ltd, 2014)
Alternatives to Randomized Control Trials: A Review of Three Quasi-experimental Designs for Causal Inference
(Instituto de Investigaciones Psicológicas, Universidad de Costa Rica, 2015)
Estimation of genetic parameters for milk yield using a random regression test-day model in first parity dairy cows under pasture-based systems of Los Ríos region in Chile
(Universidad Austral de Chile, 2020)
In dairy cattle, genetic selection for milk yield was generally based on 305 days lactation records that were calculated from available monthly test-day milk yield records. A test-day milk yield record, multiplied by the ...
Test-day or 305-day milk yield for genetic evaluation of Gir cattle
(Empresa Brasil Pesq Agropec, 2019-01-01)
The objective of this work was to compare genetic evaluations of milk yield in the Gir breed, in terms of breeding values and their accuracy, using a random regression model applied to test-day records or the traditional ...
Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows
(2013-01-24)
Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression ...
Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows
(2013-01-24)
Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression ...
Polynomial order selection in random regression models via penalizing adaptively the likelihood
(Wiley, 2015-08)
Orthogonal Legendre polynomials (LP) are used to model the shape of additive genetic and permanent environmental effects in random regression models (RRM). Frequently, the Akaike (AIC) and the Bayesian (BIC) information ...