Results 21 to 30 of about 1,906,785 (292)
We studied the effect of the Temperature Humidity Index (THI) (i.e., the average of temperature and relative humidity registered at meteorological stations) closest to the farms taken during the test day (TD), for total daily protein and fat yields (fpy)
Alberto Menéndez-Buxadera +4 more
doaj +1 more source
Multi-parameter regression survival modelling with random effects
We consider a parametric modelling approach for survival data where covariates are allowed to enter the model through multiple distributional parameters (i.e., scale and shape). This is in contrast with the standard convention of having a single covariate-dependent parameter, typically the scale.
Jaouimaa, Fatima-Zahra +2 more
openaire +3 more sources
Random Regression Analysis of Calving Interval of Japanese Black Cows
We estimated genetic parameters for the calving interval of Japanese Black cows using a random regression model and a repeatability model. We analyzed 92,019 calving interval records of 36,178 cows. Pedigree data covered 390,263 individuals.
Shinichiro Ogawa, Masahiro Satoh
doaj +1 more source
A generalized linear mixed model for longitudinal binary data with a marginal logit link function [PDF]
Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudinal binary data is that the marginal functional form, when integrated over
Fitzmaurice, Garrett M. +6 more
core +3 more sources
GENETIC PARAMETERS FOR GROWTH PERFORMANCE TRAITS OF EGYPTIAN BARKI LAMBS USING RANDOM REGRESSION MODEL [PDF]
Variance components and genetic parameters for growth traits were estimated for Barki lambs using the average information REMLF90 (AIREMLF90). A total of 3205 Barki lambs’ records over the period from 1984 to 2017 from experimental Borg Al-Arab station ...
Sh. Melak +5 more
doaj +1 more source
Conditional Monte Carlo randomization tests for regression models [PDF]
We discuss the computation of randomization tests for clinical trials of two treatments when the primary outcome is based on a regression model. We begin by revisiting the seminal paper of Gail, Tan, and Piantadosi (1988), and then describe a method based on Monte Carlo generation of randomization sequences.
Parhat, Parwen +2 more
openaire +3 more sources
Estimation of the Breeding Values and Genetic Parameters in Teleorman Black Head Sheep Breed
The aim of this paper was to study the breeding values and genetic parameters estimation methodology applied on Teleorman Black Head Sheep breed genetic improvement programs.
Florin Popa +5 more
doaj
The consistency of estimator under fixed design regression model with NQD errors
In this article, basing on NQD samples, we investigate the fixed design nonparametric regression model, where the errors are pairwise NQD random errors, with fixed design points, and an unknown function.
Chen, Xiao-ping +2 more
core +1 more source
Bagging ensemble selection for regression [PDF]
Bagging ensemble selection (BES) is a relatively new ensemble learning strategy. The strategy can be seen as an ensemble of the ensemble selection from libraries of models (ES) strategy. Previous experimental results on binary classification problems have
D.H. Wolpert +10 more
core +1 more source
The objective of the present study was to estimate genetic parameters and predict breeding values of sport horses in the Czech Republic using animal model variations.
A. Novotná +2 more
doaj +1 more source

