Evaluating the performance of Gulf of Alaska walleye pollock (Theragra chalcogramma) recruitment forecasting models using a Monte Carlo resampling strategy

Canadian Journal of Fisheries and Aquatic Sciences

Volumn 66, Issue 3, 2009, Pages 367-381

  Lee, Yong Woo ^a,b   Megrey, Bernard A ^c   Macklin, S Allen ^d  

^a UNIVERSITY OF WASHINGTON   (United States)

^b WASHINGTON DEPARTMENT OF FISH AND WILDLIFE   (United States)

^c NOAA Alaska Fisheries Science Center   (United States)

^d NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIOMASS; CONCEPTUAL FRAMEWORK; DATA SET; ECOLOGICAL MODELING; GADOID; MODEL VALIDATION; MONTE CARLO ANALYSIS; PARAMETERIZATION; PERFORMANCE ASSESSMENT; RECRUITMENT (POPULATION DYNAMICS); REGRESSION ANALYSIS; TIME SERIES;

THERAGRA CHALCOGRAMMA;

EID: 65249092134     PISSN: 0706652X     EISSN: None     Source Type: Journal    
DOI: 10.1139/F08-203     Document Type: Article

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