Performance of a Bayesian state-space model of semelparous species for stock-recruitment data subject to measurement error

Ecological Modelling

Volumn 224, Issue 1, 2012, Pages 76-89

  Su, Zhenming ^a   Peterman, Randall M ^b  

^a MICHIGAN DEPARTMENT OF NATURAL RESOURCES   (United States)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Bayesian; Errors in variables; Markov chain Monte Carlo; Measurement error; State space model; Stock recruitment analysis; Time series bias

Indexed keywords

BAYESIAN; ERRORS IN VARIABLES; MARKOV CHAIN MONTE CARLO; STATE-SPACE MODELS; STOCK-RECRUITMENT ANALYSIS; TIME-SERIES BIAS;

COMPUTER SIMULATION; EMPLOYMENT; HARVESTING; MARKOV PROCESSES; OPTIMIZATION; PRODUCTIVITY; TIME SERIES;

MEASUREMENT ERRORS;

ABUNDANCE; BAYESIAN ANALYSIS; BENCHMARKING; DENSITY DEPENDENCE; ERROR ANALYSIS; FISHERY MODELING; FISHERY PRODUCTION; HARVESTING; MARKOV CHAIN; MODEL TEST; MONTE CARLO ANALYSIS; PERFORMANCE ASSESSMENT; RECRUITMENT (POPULATION DYNAMICS); REGRESSION ANALYSIS; REPRODUCTIVE PRODUCTIVITY; SALMONID; SEMELPARITY; SPAWNING POPULATION; STOCK ASSESSMENT; TIME SERIES;

EID: 82055166035     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2011.11.001     Document Type: Article

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