Estimation of Capture Probabilities Using a GEE Approach

Detalhes bibliográficos
Autor(a) principal: Akanda, Md. Abdus Salam
Data de Publicação: 2013
Outros Autores: Alpizar-Jara, Russell
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/10057
Resumo: Heterogeneity in capture probabilities represents a serious problem when estimating population size in capture-recapture studies. A generalized estimating equation (GEE) approach is applied to data from a capture-recapture experiment to model capture probabilities through a logit-link function of the covariates. The model accounts for heterogeneity resulting from individual characteristics as well as correlation among trapping occasions. In this paper, we build-up a model to use GEE in capture-recapture methodology and argue that heterogeneity and correlation among capture occasions should be accounted for. Quasi-likelihood Information Criterion (QIC) is used for selecting best fitting model. The estimates of capture probabilities may then be used to estimate population size and a real application is revisited for illustrative purposes.
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spelling Estimation of Capture Probabilities Using a GEE ApproachCapture-recapture experimentHeterogeneityGEEPopulation size estimationCorrelation structuresHeterogeneity in capture probabilities represents a serious problem when estimating population size in capture-recapture studies. A generalized estimating equation (GEE) approach is applied to data from a capture-recapture experiment to model capture probabilities through a logit-link function of the covariates. The model accounts for heterogeneity resulting from individual characteristics as well as correlation among trapping occasions. In this paper, we build-up a model to use GEE in capture-recapture methodology and argue that heterogeneity and correlation among capture occasions should be accounted for. Quasi-likelihood Information Criterion (QIC) is used for selecting best fitting model. The estimates of capture probabilities may then be used to estimate population size and a real application is revisited for illustrative purposes.Sociedade Portuguesa de Estatística2014-01-27T12:53:17Z2014-01-272013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/10057http://hdl.handle.net/10174/10057engAkanda, Md. A.S.& Alpizar-Jara, R. (2013). Estimation of capture probabilities using a GEE approach, in Estatística Novos Desenvolvimentos e Inspirações (Eds. Maia, M., Campos, P. e Duarte Silva, P.), Edições SPE, pp. 27-35, ISBN: 978-972-8890-32-2. (XX Congresso da SPE, Porto, 26 a 29 de Setembro de 2012)978-972-8890-32-2http://www.spestatistica.pt/index.php?option=com_content&view=category&layout=blog&id=35&Itemid=62&lang=ptndalpizar@uevora.pt336Akanda, Md. Abdus SalamAlpizar-Jara, Russellinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:52:43Zoai:dspace.uevora.pt:10174/10057Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:04:04.592381Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Estimation of Capture Probabilities Using a GEE Approach
title Estimation of Capture Probabilities Using a GEE Approach
spellingShingle Estimation of Capture Probabilities Using a GEE Approach
Akanda, Md. Abdus Salam
Capture-recapture experiment
Heterogeneity
GEE
Population size estimation
Correlation structures
title_short Estimation of Capture Probabilities Using a GEE Approach
title_full Estimation of Capture Probabilities Using a GEE Approach
title_fullStr Estimation of Capture Probabilities Using a GEE Approach
title_full_unstemmed Estimation of Capture Probabilities Using a GEE Approach
title_sort Estimation of Capture Probabilities Using a GEE Approach
author Akanda, Md. Abdus Salam
author_facet Akanda, Md. Abdus Salam
Alpizar-Jara, Russell
author_role author
author2 Alpizar-Jara, Russell
author2_role author
dc.contributor.author.fl_str_mv Akanda, Md. Abdus Salam
Alpizar-Jara, Russell
dc.subject.por.fl_str_mv Capture-recapture experiment
Heterogeneity
GEE
Population size estimation
Correlation structures
topic Capture-recapture experiment
Heterogeneity
GEE
Population size estimation
Correlation structures
description Heterogeneity in capture probabilities represents a serious problem when estimating population size in capture-recapture studies. A generalized estimating equation (GEE) approach is applied to data from a capture-recapture experiment to model capture probabilities through a logit-link function of the covariates. The model accounts for heterogeneity resulting from individual characteristics as well as correlation among trapping occasions. In this paper, we build-up a model to use GEE in capture-recapture methodology and argue that heterogeneity and correlation among capture occasions should be accounted for. Quasi-likelihood Information Criterion (QIC) is used for selecting best fitting model. The estimates of capture probabilities may then be used to estimate population size and a real application is revisited for illustrative purposes.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01T00:00:00Z
2014-01-27T12:53:17Z
2014-01-27
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/10057
http://hdl.handle.net/10174/10057
url http://hdl.handle.net/10174/10057
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Akanda, Md. A.S.& Alpizar-Jara, R. (2013). Estimation of capture probabilities using a GEE approach, in Estatística Novos Desenvolvimentos e Inspirações (Eds. Maia, M., Campos, P. e Duarte Silva, P.), Edições SPE, pp. 27-35, ISBN: 978-972-8890-32-2. (XX Congresso da SPE, Porto, 26 a 29 de Setembro de 2012)
978-972-8890-32-2
http://www.spestatistica.pt/index.php?option=com_content&view=category&layout=blog&id=35&Itemid=62&lang=pt
nd
alpizar@uevora.pt
336
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dc.publisher.none.fl_str_mv Sociedade Portuguesa de Estatística
publisher.none.fl_str_mv Sociedade Portuguesa de Estatística
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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