Cargando…
Applying Least Absolute Shrinkage Selection Operator and Akaike Information Criterion Analysis to Find the Best Multiple Linear Regression Models between Climate Indices and Components of Cow’s Milk
This study focuses on multiple linear regression models relating six climate indices (temperature humidity THI, environmental stress ESI, equivalent temperature index ETI, heat load HLI, modified HLI (HLI (new)), and respiratory rate predictor RRP) with three main components of cow’s milk (yield, fa...
Autores principales: | Marami Milani, Mohammad Reza, Hense, Andreas, Rahmani, Elham, Ploeger, Angelika |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302396/ https://www.ncbi.nlm.nih.gov/pubmed/28231147 http://dx.doi.org/10.3390/foods5030052 |
Ejemplares similares
-
A Pilot Investigation of the Relationship between Climate Variability and Milk Compounds under the Bootstrap Technique
por: Marami Milani, Mohammad Reza, et al.
Publicado: (2015) -
A primer on model selection using the Akaike Information Criterion
por: Portet, Stéphanie
Publicado: (2020) -
Performance of Akaike Information Criterion and Bayesian Information Criterion in Selecting Partition Models and Mixture Models
por: Liu, Qin, et al.
Publicado: (2022) -
Practical advice on variable selection and reporting using Akaike information criterion
por: Sutherland, Chris, et al.
Publicado: (2023) -
An improved sparse identification of nonlinear dynamics with Akaike information criterion and group sparsity
por: Dong, Xin, et al.
Publicado: (2022)