Results 31 to 40 of about 22,337 (298)
Purpose: In the latest revision of the guideline for evaluation of bioequivalence (BE), European regulators introduced the requirement for using subjects as fixed factors in the underlying statistical models, even in replicate and semi-replicate studies.
Anders Fuglsang
doaj +1 more source
A new approach fits multivariate genomic prediction models efficiently
Background Fast, memory-efficient, and reliable algorithms for estimating genomic estimated breeding values (GEBV) for multiple traits and environments are needed to make timely decisions in breeding.
Alencar Xavier, David Habier
doaj +1 more source
Bayesian and average information restricted maximum likelihood (AI-REML) approaches were used to estimate variance components and genetic parameters of Wood’s lactation curve parameters of milk production traits in three lactations of Iranian Holstein ...
Keyvan Radjabalizadeh +3 more
doaj +1 more source
Remling’s theorem on canonical systems
In this paper, we extend the Remling’s theorem on canonical systems that the ω limit points of the Hamiltonian under the shift map are reflectionless on the support of the absolutely continuous part of the spectral measure of a canonical system.
openaire +3 more sources
Background Increased serum remnant lipoproteins are supposed to predict cardiovascular disease in addition to increased LDL. A new homogenous assay for remnant lipoprotein-cholesterol (RemL-C) has been developed as an alternative to remnant-like particle-
Saikawa Shinichi +10 more
doaj +1 more source
Strategies for multi-trait selection of sweet sorghum progenies
The selection of sweet sorghum genotypes is based on multiple agronomical and technological traits. The objectives of this study were to evaluate the effectiveness of inter-trait recovery information in improving the selective accuracy of the predicted ...
José Airton Rodrigues Nunes +3 more
doaj
A new REML (parameter expanded) EM algorithm for linear mixed models [PDF]
Linear mixed models are regularly applied to animal and plant breeding data to evaluate genetic potential. Residual maximum likelihood (REML) is the preferred method for estimating variance parameters associated with this type of model.
Smith, Alison Barbara +3 more
core +1 more source
Row-col method associated with frequentist and Bayesian statistics in a passion fruit population
This study was conducted to test the significance of adding row and column factors in the frequentist and Bayesian models used in the evaluation of a population of Passiflora edulis, as well as selecting promising genotypes to form the next generation ...
Flavia Alves da Silva +5 more
doaj
Background Stepped wedge trials are an appealing and potentially powerful cluster randomized trial design. However, they are frequently implemented with a small number of clusters.
Kelsey L. Grantham +4 more
doaj +1 more source
Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models.
Kaarina Matilainen +4 more
doaj +1 more source

