We propose an Mhotb model for population size estimation in capture-recapture studies. The tb part is based on equality constraints for the conditional capture probabilities, leading to an extremely rich model class. Observed and unobserved heterogeneity are dealt with by means of a logistic parameterization. In order to explore the model class, we introduce a penalized version of the likelihood. The conditional likelihood and penalized conditional likelihood are maximized by means of efficient EM algorithms. Simulations and two real data examples illustrate the approach.

Farcomeni, A. (2016). A general class of recapture models based on the conditional capture probabilities. BIOMETRICS, 72(1), 116-124 [10.1111/biom.12375].

A general class of recapture models based on the conditional capture probabilities

FARCOMENI, Alessio
2016-01-01

Abstract

We propose an Mhotb model for population size estimation in capture-recapture studies. The tb part is based on equality constraints for the conditional capture probabilities, leading to an extremely rich model class. Observed and unobserved heterogeneity are dealt with by means of a logistic parameterization. In order to explore the model class, we introduce a penalized version of the likelihood. The conditional likelihood and penalized conditional likelihood are maximized by means of efficient EM algorithms. Simulations and two real data examples illustrate the approach.
2016
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore SECS-S/01 - STATISTICA
English
aitchinson-silvey algorithm; capture history; equality constraints; heterogeneity; population size; animals; biometry; computer simulation; humans; likelihood functions; reproducibility of results; sample size; sensitivity and specificity; algorithms; censuses; data interpretation; statistical; effect modifier; epidemiologic; models; statistical; population density; statistics and probability; medicine (all); biochemistry; genetics and molecular biology (all); immunology and microbiology (all); agricultural and biological sciences (all); applied mathematics
Farcomeni, A. (2016). A general class of recapture models based on the conditional capture probabilities. BIOMETRICS, 72(1), 116-124 [10.1111/biom.12375].
Farcomeni, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/223731
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