Simultaneous estimation of daily weight and feed intake curves for growing pigs by random regression
In this study, random regression models were used to estimate covariance functions between feed intake and BW in boars from the two breeds: the Norwegian Landrace and the Norwegian Duroc.
M. Wetten +3 more
doaj +1 more source
At the dairy research farm Karkendamm, the individual roughage intake was measured since 1 September 2005 using a computerised scale system to estimate daily energy balances as the difference between energy intake and calculated energy requirements for ...
H. Hüttmann +4 more
doaj +1 more source
Bayesian Analysis of Sample Selection and Endogenous Switching Regression Models with Random Coefficients Via MCMC Methods [PDF]
This paper develops a Bayesian method for estimating and testing the parameters of the endogenous switching regression model and sample selection models.
Odejar, M. A. E.
core +1 more source
Genetic correlations between production and disease traits during first lactation in Holstein cows
The aim of this study was to estimate genetic correlations between milk yield, somatic cell score (SCS), mastitis, and claw and leg disorders (CLDs) during first lactation in Holstein cows by using a threshold–linear random regression test-day model.
K. Hagiya +8 more
doaj +1 more source
Test-day or 305-day milk yield for genetic evaluation of Gir cattle [PDF]
: 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 model (TM) applied to estimates
Rodrigo Junqueira Pereira +5 more
doaj +1 more source
Genetics of heat tolerance for milk yield and quality in Holsteins
Tropical and sub-tropical climates are characterized by high temperature and humidity, during at least part of the year. Consequently, heat stress is common in Holstein cattle and productive and reproductive losses are frequent.
M.L. Santana, Jr +4 more
doaj +1 more source
Randomized Regression In Differentiators
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Sari Siren, Pauli Kuosmanen
openaire +2 more sources
Regression-Enhanced Random Forests
Random forest (RF) methodology is one of the most popular machine learning techniques for prediction problems. In this article, we discuss some cases where random forests may suffer and propose a novel generalized RF method, namely regression-enhanced random forests (RERFs), that can improve on RFs by borrowing the strength of penalized parametric ...
Haozhe Zhang +2 more
openaire +4 more sources
Least squares estimation of regression coefficients of singular random fields observed on a sphere [PDF]
We present some results on the rate of convergence to the normal law of the least square estimates of the regression coefficient of random fields with long range dependence observed on a ...
Anh, Vo +5 more
core +1 more source
Genotype × environment interaction in milk traits of Guzerá cattle using reaction norm models [PDF]
This study aimed to evaluate genotype × environment (G×E) interactions in Guzerá breed animals for 305-day first-lactation cumulative yields (kg) of milk (MY305), fat (FY305), and protein (PY305). We used 6823 records of MY305, 2466 records of FY305, and
Tainara Luana da Silva Soares +7 more
doaj +1 more source

