Results 41 to 50 of about 1,926,955 (188)

Admissibility of the usual confidence interval in linear regression

open access: yes, 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
core   +1 more source

Random Effect Model pada Regresi Panel untuk Pemodelan Kasus Gizi Buruk Balita di Jawa Timur Tahun 2013–2016

open access: yesJurnal Biometrika dan Kependudukan, 2018
Severe Malnutrition among under five still become a problem in East Java. Regression analysis that has been done only use data in one year so it can not see the effect of time.
Irma Ike Wahyuni, Mahmudah Mahmudah
doaj   +1 more source

Genetic analyses of blood β-hydroxybutyrate predicted from milk infrared spectra and its association with longevity and female reproductive traits in Holstein cattle

open access: yesJournal of Dairy Science, 2022
: Ketosis is one of the most prevalent and complex metabolic disorders in high-producing dairy cows and usually detected through analyses of β-hydroxybutyrate (BHB) concentration in blood. Our main objectives were to evaluate genetic parameters for blood
W. Lou   +10 more
doaj   +1 more source

Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation

open access: yes, 2017
A novel multi-atlas based image segmentation method is proposed by integrating a semi-supervised label propagation method and a supervised random forests method in a pattern recognition based label fusion framework.
Fan, Yong, Zheng, Qiang
core   +1 more source

Estimates of Genetic Parameters for Body Weight in Turkish Holstein Bulls using Random Regression Model

open access: yesJournal of Agricultural Sciences, 2019
The objective of this study was to estimate genetic parameters for the body weights of Turkish Holstein bulls using the random regression model. The data set consists of 1475 body weight records from 395 Holstein bulls raised in the same herd.
Aşkın Galiç, Çiğdem Takma
doaj   +1 more source

Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars

open access: yesFrontiers in Genetics, 2022
It has been proven that the random regression model has a great advantage over the repeatability model in longitudinal data analysis. At present, the random regression model has been used as a standard analysis method in longitudinal data analysis.
Yifeng Hong   +15 more
doaj   +1 more source

Optimal Activation Functions for the Random Features Regression Model

open access: yesCoRR, 2022
The asymptotic mean squared test error and sensitivity of the Random Features Regression model (RFR) have been recently studied. We build on this work and identify in closed-form the family of Activation Functions (AFs) that minimize a combination of the test error and sensitivity of the RFR under different notions of functional parsimony.
Jianxin Wang, José Bento 0001
openaire   +3 more sources

Genetic Association Analysis for Relative Growths of Body Compositions and Metabolic Traits to Body Weights in Broilers

open access: yesAnimals, 2021
In animal breeding, body components and metabolic traits always fall behind body weights in genetic improvement, which leads to the decline in standards and qualities of animal products. Phenotypically, the relative growth of multiple body components and
Ying Zhang   +5 more
doaj   +1 more source

Estimation of the Genetic Components of (Co)variance and Preliminary Genome-Wide Association Study for Reproductive Efficiency in Retinta Beef Cattle

open access: yesAnimals, 2023
In this study, we analyzed the variation of reproductive efficiency, estimated as the deviation between the optimal and real parity number of females at each stage of the cow’s life, in 12,554 cows belonging to the Retinta Spanish cattle breed, using ...
José María Jiménez   +5 more
doaj   +1 more source

Conditional Monte Carlo randomization tests for regression models [PDF]

open access: yesStatistics in Medicine, 2014
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

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