Results 21 to 30 of about 1,914,522 (244)
Animals, 2021 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
A generalized linear mixed model for longitudinal binary data with a marginal logit link function [PDF]
, 2011 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
Random Regression Analysis of Calving Interval of Japanese Black Cows
Animals, 2021 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
GENETIC PARAMETERS FOR GROWTH PERFORMANCE TRAITS OF EGYPTIAN BARKI LAMBS USING RANDOM REGRESSION MODEL [PDF]
Arab Universities Journal of Agricultural Sciences, 2019 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
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Estimation of the Breeding Values and Genetic Parameters in Teleorman Black Head Sheep Breed
Scientific Papers Animal Science and Biotechnologies, 2023 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
, 2013 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
A Simple Class of Bayesian Nonparametric Autoregression Models [PDF]
, 2013 We introduce a model for a time series of continuous outcomes, that can be expressed as fully nonparametric regression or density regression on lagged terms.
Di Lucca, Maria Anna +3 more
core +1 more source
Czech Journal of Animal Science, 2015 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
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Bagging ensemble selection for regression [PDF]
, 2012 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
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Admissibility of the usual confidence interval in linear regression
, 2010 Consider a linear regression model with independent and identically normally distributed random errors. Suppose that the parameter of interest is a specified linear combination of the regression parameters. We prove that the usual confidence interval for
Giri, Khageswor +2 more
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