Quantile function modeling with application to salinity tolerance analysis of plant data

BACKGROUND: In plant science, the study of salinity tolerance is crucial to improving plant growth and productivity under saline conditions. Since quantile regression is a more robust, comprehensive and flexible method of statistical analysis than the commonly used mean regression methods, we applie...

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Detalles Bibliográficos
Autores principales: Agarwal, Gaurav, Saade, Stephanie, Shahid, Mohammad, Tester, Mark, Sun, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883524/
https://www.ncbi.nlm.nih.gov/pubmed/31779586
http://dx.doi.org/10.1186/s12870-019-2039-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883524/
https://www.ncbi.nlm.nih.gov/pubmed/31779586
http://dx.doi.org/10.1186/s12870-019-2039-9

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