Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion (2016)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1214/14-BJPS255
- Subjects: INFERÊNCIA BAYESIANA; ESTATÍSTICA APLICADA; INFERÊNCIA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Brazilian Journal of Probability and Statistics
- ISSN: 0103-0752
- Volume/Número/Paginação/Ano: v. 30, n. 1, p. 47-69, 2016
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: unspecified-oa
-
ABNT
SALASAR, Luis Ernesto Bueno e LEITE, José Galvão e LOUZADA, Francisco. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, v. 30, n. 1, p. 47-69, 2016Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS255. Acesso em: 19 abr. 2024. -
APA
Salasar, L. E. B., Leite, J. G., & Louzada, F. (2016). Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion. Brazilian Journal of Probability and Statistics, 30( 1), 47-69. doi:10.1214/14-BJPS255 -
NLM
Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1214/14-BJPS255 -
Vancouver
Salasar LEB, Leite JG, Louzada F. Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 47-69.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1214/14-BJPS255 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1214/14-BJPS255 (Fonte: oaDOI API)
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