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...
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Autor*in:	Alessio Farcomeni [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Capture history Equality constraints Population size

Übergeordnetes Werk:	In: Statistica - University of Bologna, 2013, 75(2015), 1, Seite 5-17
Übergeordnetes Werk:	volume:75 ; year:2015 ; number:1 ; pages:5-17

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.6092/issn.1973-2201/5819

Katalog-ID:	DOAJ012838810

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callnumber-first	H - Social Science
author	Alessio Farcomeni
spellingShingle	Alessio Farcomeni misc HA1-4737 misc Capture history misc Equality constraints misc Population size misc Statistics Latent class recapture models with flexible behavioural response
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topic_title	HA1-4737 Latent class recapture models with flexible behavioural response Capture history Equality constraints Population size
topic	misc HA1-4737 misc Capture history misc Equality constraints misc Population size misc Statistics
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title	Latent class recapture models with flexible behavioural response
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title_full	Latent class recapture models with flexible behavioural response
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title_sort	latent class recapture models with flexible behavioural response
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title_auth	Latent class recapture models with flexible behavioural response
abstract	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.
abstractGer	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.
abstract_unstemmed	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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title_short	Latent class recapture models with flexible behavioural response
url	https://doi.org/10.6092/issn.1973-2201/5819 https://doaj.org/article/9a14769c7a83478c95b888d343f01688 http://rivista-statistica.unibo.it/article/view/5819 https://doaj.org/toc/0390-590X https://doaj.org/toc/1973-2201
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