A parameter estimation routine for the vitality-based survival model
- Author
- SALINGER, David H1 ; ANDERSON, James J1 ; HAMEL, Owen S2
[1] Columbia Basin Research, School of Aquatic and Fishery Sciences, University of Washington, Box 358218, Seattle, WA 98195-8218, United States
[2] Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Boulevard East, Seattle, WA 98112, United States - Source
Ecological modelling. 2003, Vol 166, Num 3, pp 287-294, 8 p ; ref : 12 ref
- CODEN
- ECMODT
- ISSN
- 0304-3800
- Scientific domain
- Ecology; Environment
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Estimation error Goodness-of-fit Maximum likelihood Parameter estimation Survival Vitality model
- Keyword (fr)
- Algorithme Estimation paramètre Maximum vraisemblance Modèle Mortalité Survie Vitalité
- Keyword (en)
- Algorithm Parameter estimation Maximum likelihood Models Mortality Survival Vitality
- Keyword (es)
- Algoritmo Estimación parámetro Maxima verosimilitud Modelo Mortalidad Sobrevivencia Vitalidad
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A02 Methods and techniques (sampling, tagging, trapping, modelling...)
- Discipline
- Animal, vegetal and microbial ecology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 15040378
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/S0304-3800(03)00162-5 
https://dx.doi.org/10.1016/S0304-3800(03)00162-5
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