Semiparametric model selection for identification of environmental covariates related to adult groundfish catches and weights
Abstract Ecologists and fisheries managers are interested in monitoring economically important marine fish species and using this data to inform management strategies. Determining environmental factors that best predict changes in these populations, particularly under rapid climate change, are a pri...
Enregistré dans:
Auteur principal: | Hannah E. Correia |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/d0622fa9f09d40f3b0789ad7346476b3 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Quantum Semiparametric Estimation
par: Mankei Tsang, et autres
Publié: (2020) -
Semiparametric maximum likelihood probability density estimation.
par: Frank Kwasniok
Publié: (2021) -
Semiparametric maximum likelihood probability density estimation
par: Frank Kwasniok
Publié: (2021) -
Estimating equivalence scales and non-food needs in Egypt: Parametric and semiparametric regression modeling.
par: Fuad A Awwad, et autres
Publié: (2021) -
Symbolic regression based hybrid semiparametric modelling of processes: An example case of a bending process
par: Mohammad Zhian Asadzadeh, et autres
Publié: (2021)