Biomass estimation from surveys with likelihood-based geostatistics
Author:
Affiliation:
1. Department of Fisheries, PO Box 598, Stanley, Falkland Islands, Departamento de Oceanografía, Universidad de Concepción, PO Box 160-C, Concepción, Chile
2. Centro Trapananda, Universidad Austral de Chile, Portales 73, Coyhaique, Chile
Abstract
Publisher
Oxford University Press (OUP)
Subject
Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography
Link
http://academic.oup.com/icesjms/article-pdf/64/9/1723/29128731/fsm149.pdf
Reference38 articles.
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3. Review of “Invariance of maximum likelihood estimators” by P.W. Zehna;Berk;Mathematical Reviews,1967
4. Global fish abundance estimation from regular sampling: the geostatistical transitive method;Bez;Canadian Journal of Fisheries and Aquatic Sciences,2002
5. Monte Carlo maximum likelihood in model-based geostatistics;Christensen;Journal of Computational and Graphical Statistics,2004
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