Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
P Pérez-Rodríguez, D Gianola… - G3: Genes …, 2012 - academic.oup.com
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …
[PDF][PDF] Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
P Pérez-Rodríguez, D Gianola, JM González-Camacho… - 2012 - scienceopen.com
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …
Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
P Pérez-Rodríguez, D Gianola… - G3 Genes| Genomes …, 2012 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> In genome-enabled prediction, parametric,
semi-parametric, and non-parametric regression models have been used. This study …
semi-parametric, and non-parametric regression models have been used. This study …
[引用][C] Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
P Perez-Rodriguez, D Gianola, JM González-Camacho… - 2012 - repository.cimmyt.org
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
P Pérez-Rodríguez, D Gianola, JM González-Camacho… - sidalc.net
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat.
P Pérez-Rodríguez, D Gianola… - G3 (Bethesda …, 2012 - europepmc.org
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …
[PDF][PDF] Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
P Pérez-Rodríguez, D Gianola, JM González-Camacho… - 2012 - researchgate.net
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …
[HTML][HTML] Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
P Pérez-Rodríguez, D Gianola… - G3: Genes| Genomes …, 2012 - ncbi.nlm.nih.gov
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
P Pérez-Rodríguez, D Gianola… - G3 (Bethesda …, 2012 - pubmed.ncbi.nlm.nih.gov
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …
[PDF][PDF] Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
P Pérez-Rodríguez, D Gianola, JM González-Camacho… - 2012 - cyberleninka.org
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression
models have been used. This study assessed the predictive ability of linear and non-linear …
models have been used. This study assessed the predictive ability of linear and non-linear …