Capture-recapture estimation using finite mixtures of arbitrary dimension

Biometrics

Volumn 66, Issue 2, 2010, Pages 644-655

  Arnold, Richard ^a   Hayakawa, Yu ^b   Yip, Paul ^c  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

^b WASEDA UNIVERSITY   (Japan)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Bayesian model averaging; Capture recapture; Closed populations; Heterogeneity; Mixture distribution; Reversible jump MCMC

Indexed keywords

MARKOV PROCESSES; MONTE CARLO METHODS; POPULATION STATISTICS; STATISTICAL TESTS;

ARBITRARY DIMENSION; BAYESIAN MODEL AVERAGING; CAPTURE-RECAPTURE; CLOSED POPULATION; DATA SET; FINITE MIXTURES; HETEROGENEITY; MIXTURE DISTRIBUTIONS; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; REVERSIBLE-JUMP MCMC;

BAYESIAN NETWORKS;

BAYESIAN ANALYSIS; CAPTURE METHOD; DATA SET; HETEROGENEITY; LAGOMORPH; MARKOV CHAIN; MONTE CARLO ANALYSIS; POPULATION MODELING; POPULATION SIZE; PROBABILITY;

LEPUS AMERICANUS; ORYCTOLAGUS CUNICULUS;

ANIMAL; BIOMETRY; ECOLOGY; MONTE CARLO METHOD; PROBABILITY; PROCEDURES; RABBIT; STATISTICS AND NUMERICAL DATA;

ANIMALS; BIOMETRY; ECOLOGY; MARKOV CHAINS; MONTE CARLO METHOD; PROBABILITY; RABBITS;

EID: 77952988949     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01289.x     Document Type: Article

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