Results 81 to 90 of about 5,367,671 (190)

The Use of Targeted Marker Subsets to Account for Population Structure and Relatedness in Genome-Wide Association Studies of Maize (Zea mays L.)

G3: Genes, Genomes, Genetics, 2016
A typical plant genome-wide association study (GWAS) uses a mixed linear model (MLM) that includes a trait as the response variable, a marker as an explanatory variable, and fixed and random effect covariates accounting for population structure and ...
Angela H. Chen, Alexander E. Lipka
doaj   +1 more source

Stochastic Differential Mixed-Effects Models

Scandinavian Journal of Statistics, 2010
Continuous processes \(X_t^i\) are observed for \(M\) different experimental units \(i=1,\dots,M\) at discrete time points. The stochastic differential mixed effect model (SDMEM) assumes that \[ dX_t^i=\mu(X_t^i,\vartheta,b^i)dt+\sigma(X_t^i,\vartheta,b^i)dw_t^i, \] where \(w_t^i\) are standard Brownian motions, \(\mu\) and \(\sigma\) are known drift ...
Picchini U, De Gaetano A, Ditlevsen S
openaire   +8 more sources

Avaliação do desempenho zootécnico de genótipos de frangos de corte utilizando-se a análise de medidas repetidas Performance evaluation of broiler genotypes by repeated measures

Revista Brasileira de Zootecnia, 2005
Objetivou-se avaliar genótipos de frangos de corte por meio do desempenho zootécnico utilizando-se medidas repetidas. Os tratamentos consistiram de quatro genótipos (A, B, C e D) e dois sexos avaliados em seis idades (7, 14, 21, 28, 35 e 42 dias).
Millor Fernandes do Rosário, Marco Aurélio Neves da Silva, Vicente José Maria Savino, Antonio Augusto Domingos Coelho, Michel Choairy de Moraes   +4 more
doaj   +1 more source

DGA-Models of variations of mixed Hodge structures

, 2018
We define objects over Morgan's mixed Hodge diagrams which will be algebraic models of unipotent variations of mixed hodge structures over K\"ahler manifolds.
Kasuya, Hisashi
core  

Functional Mixed Membership Models

Journal of Computational and Graphical Statistics
Mixed membership models, or partial membership models, are a flexible unsupervised learning method that allows each observation to belong to multiple clusters. In this paper, we propose a Bayesian mixed membership model for functional data. By using the multivariate Karhunen-Loève theorem, we are able to derive a scalable representation of Gaussian ...
Marco, Nicholas, Şentürk, Damla, Jeste, Shafali, DiStefano, Charlotte, Dickinson, Abigail, Telesca, Donatello   +5 more
openaire   +3 more sources

Nonparametric Density Estimation in a Mixed Model Using Wavelets

Axioms
This paper investigates nonparametric estimations of a density function within a mixed density model. A linear wavelet density estimator and an adaptive nonlinear wavelet estimator are proposed using wavelet method and hard thresholding algorithm.
Dan Liang, Junke Kou
doaj   +1 more source

Mixed Methods for Mixed Models

, 2014
This work bridges the frequentist and Bayesian approaches to mixed models by borrowing the best features from both camps: point estimation procedures are combined with priors to obtain accurate, fast inference while posterior simulation techniques are developed that approximate the likelihood with great precision for the purposes of assessing ...
openaire   +2 more sources

Selection of High-Yielding Genotypes of Coffea canephora at Transitional Altitude: Adaptability and Stability and Impacts of Water Management

Horticulturae
Expanding Coffea canephora cultivation to transitional altitudes offers a promising strategy to sustain coffee production under climate change. This study evaluated 27 genotypes cultivated under two water management regimes (fully and minimally irrigated)
Tafarel Victor Colodetti, Wagner Nunes Rodrigues, João Felipe de Brites Senra, Marcelo Curitiba Espindula, José Francisco Teixeira do Amaral, José Domingos Cochicho Ramalho, Marcelo Antonio Tomaz   +6 more
doaj   +1 more source

Mixed Model

, 2015
Hier wordt de lezer systematische geleid van de t-toets, ANOVA, ANCOVA naar Mixed Model. Elk model wordt met een analyse van gegevens geillustreerd.
openaire  

Structural Equation Modeling of Genetic and Residual Covariance Matrices for Multiple-Trait Evaluation in Beef Cattle

Animals
The continuous growth in both the number of phenotypic records and the range of traits included in beef cattle genetic evaluations poses substantial statistical and computational challenges for the estimation of genetic and residual (co)variance matrices
Marcos Jun-Iti Yokoo, Gustavo de los Campos, Vinícius Silva Junqueira, Fernando Flores Cardoso, Guilherme Jordão Magalhães Rosa, Lucia Galvão Albuquerque   +5 more
doaj   +1 more source