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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| 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 |