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Fish stock / Fisheries management / Wild fisheries / Cross-validation / Logistic regression / Maximum sustainable yield / Linear regression / Akaike information criterion / Fish mortality / Statistics / Fisheries science / Stock assessment


Using model-based inference to evaluate global fisheries status from landings, location, and life history data
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Document Date: 2012-08-03 21:33:32

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City

Seattle / SOFIA / Atlantic / New York / Washington / D.C. / Rome / Danvers / Variables Biomass / Gaines / /

Company

Punt A.E. / NRC Research Press / SSB / Springer-Verlag Inc. / New York Times / Island Press / Sethi S.A. / /

Continent

North America / Europe / Antarctica / /

Country

Italy / New Zealand / United States / Australia / /

Currency

IEP / /

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Facility

University of Washington / Rutgers University / Joint Institute / /

IndustryTerm

food items / individual food items / fisheries management / mining / computing / statistical computing environment / /

NaturalFeature

Southern Indian Ocean / Gulf of Mexico / Black Sea / Indian Ocean / /

Organization

National Science Foundation / Rutgers University / National Oceanic and Atmospheric Administration / Institute of Marine and Coastal Sciences / Nuclear Regulatory Commission / United Nations / Food and Agriculture Organization of the United Nations / University of Washington / Seattle / UNIV OF WASHINGTON LIBRARIES / /

Person

Terrance Quinn / Washington Think Tank / James T. Thorson / Trevor A. Branch / /

Position

aide / Editor / Corresponding author / advocate / Major / representative / /

ProgrammingLanguage

EC / E / /

ProvinceOrState

New Jersey / New York / South Dakota / Massachusetts / /

PublishedMedium

New York Times / /

Region

Antarctic / Indian Ocean / southeast Australia / Gulf of Mexico / Black Sea / Southern Indian Ocean / Mediterranean / /

Technology

RAM / html / data mining / simulation / /

URL

www.nrcresearchpress.com / http /

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