Latent class recapture models with flexible behavioural response
We propose a class of models for population size estimation in capture-recapture studies, allowing for flexible behavioural and time response, observed heterogeneity and unobserved heterogeneity. The latter is taken into account by means of discrete random variables. The conditional likelihood is ma...
Ausführliche Beschreibung
Autor*in: |
Alessio Farcomeni [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Statistica - University of Bologna, 2013, 75(2015), 1, Seite 5-17 |
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Übergeordnetes Werk: |
volume:75 ; year:2015 ; number:1 ; pages:5-17 |
Links: |
Link aufrufen |
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DOI / URN: |
10.6092/issn.1973-2201/5819 |
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Katalog-ID: |
DOAJ012838810 |
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Latent class recapture models with flexible behavioural response |
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We propose a class of models for population size estimation in capture-recapture studies, allowing for flexible behavioural and time response, observed heterogeneity and unobserved heterogeneity. The latter is taken into account by means of discrete random variables. The conditional likelihood is maximized through an efficient EM based on the Aitchinson-Silvey algorithm. |
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We propose a class of models for population size estimation in capture-recapture studies, allowing for flexible behavioural and time response, observed heterogeneity and unobserved heterogeneity. The latter is taken into account by means of discrete random variables. The conditional likelihood is maximized through an efficient EM based on the Aitchinson-Silvey algorithm. |
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We propose a class of models for population size estimation in capture-recapture studies, allowing for flexible behavioural and time response, observed heterogeneity and unobserved heterogeneity. The latter is taken into account by means of discrete random variables. The conditional likelihood is maximized through an efficient EM based on the Aitchinson-Silvey algorithm. |
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Latent class recapture models with flexible behavioural response |
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score |
7.3986826 |