A finite-state continuous-time approach for inferring regional migration and mortality rates from archival tagging and conventional tag-recovery experiments

Biometrics

Volumn 64, Issue 4, 2008, Pages 1196-1206

  Miller, Timothy J ^a,b   Andersen, Per K ^c  

^a UNIVERSITY OF NEW HAMPSHIRE   (United States)

^b NORTHEAST FISHERIES SCIENCE CENTER   (United States)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Finite state continuous time process; Implanted archival tag; Markov process; Pop up satellite archival tag; Spatially structured population; Tag recovery

Indexed keywords

CONTINUOUS TIME SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; POPULATION STATISTICS; RECOVERY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

CONTINOUS TIME; FINITE-STATE; FINITE-STATE CONTINUOUS-TIME PROCESS; IMPLANTED ARCHIVAL TAG; MIGRATION RATES; MORTALITY RATE; POP-UP SATELLITE ARCHIVAL TAG; SPATIALLY STRUCTURED POPULATION; STRUCTURED POPULATION; TAG-RECOVERY;

MARKOV PROCESSES;

CONFIDENCE INTERVAL; EXPERIMENTAL STUDY; FISHERY MANAGEMENT; HARVESTING; MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; MIGRATION; MORTALITY; PERCIFORM; POPULATION DYNAMICS; POPULATION MODELING; POPULATION STRUCTURE; SPATIAL ANALYSIS; SURVIVAL; TAGGING;

ARTICLE; CONFIDENCE INTERVAL; MATHEMATICAL MODEL; MIGRATION; MORTALITY; POPULATION DYNAMICS; PROBABILITY; STATISTICAL MODEL; SURVIVAL; TUNA;

ANIMALIA; THUNNUS THYNNUS;

EID: 56049103794     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.00996.x     Document Type: Article

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