A Bayesian analysis of capture-recapture experiments for a closed animal population (1988)
- Autor:
- Autor USP: RODRIGUES, JOSEMAR - IME
- Unidade: IME
- Assunto: INFERÊNCIA EM POPULAÇÃO ANIMAL
- Idioma: Português
- Imprenta:
-
ABNT
RODRIGUES, Josemar. A Bayesian analysis of capture-recapture experiments for a closed animal population. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/31069254-5c49-4fec-bd7c-aaa4edb3ec03/777215.pdf. Acesso em: 18 set. 2024. , 1988 -
APA
Rodrigues, J. (1988). A Bayesian analysis of capture-recapture experiments for a closed animal population. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/31069254-5c49-4fec-bd7c-aaa4edb3ec03/777215.pdf -
NLM
Rodrigues J. A Bayesian analysis of capture-recapture experiments for a closed animal population [Internet]. 1988 ;[citado 2024 set. 18 ] Available from: https://repositorio.usp.br/directbitstream/31069254-5c49-4fec-bd7c-aaa4edb3ec03/777215.pdf -
Vancouver
Rodrigues J. A Bayesian analysis of capture-recapture experiments for a closed animal population [Internet]. 1988 ;[citado 2024 set. 18 ] Available from: https://repositorio.usp.br/directbitstream/31069254-5c49-4fec-bd7c-aaa4edb3ec03/777215.pdf - Robust linear prediction in finite population
- Some shrunken predictors in finite populations with a multinormal superpopulation model
- Note on the orthogonal reparametrization in bayesian inference for the extreme distribution
- Bayesian estimation of a normal mean parameters using linex loss function and robustness considerations
- Reparametrizacao ortogonal em testes de sobrevivencia acelerados com o modelo de potencia
- Asymptotically design-unbiased predictors to two-stage sampling
- Inferencia bayesiana para o número de espécies de uma população via processos de poisson não homogêneos
- Bayesian estimation of a simple regression model with measurement errors
- Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion
- Bayesian computation for dichotomous variables with classification errors
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