Finite population prediction under a linear function superpopulation model: a bayesian perspective (1990)
- Authors:
- USP affiliated authors: RODRIGUES, JOSEMAR - ICMC ; BOLFARINE, HELENO - IME
- Unidades: ICMC; IME
- DOI: 10.1080/03610929008830335
- Assunto: PESQUISA E PLANEJAMENTO ESTATÍSTICO
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Communications Statistics: Theory Methods
- Volume/Número/Paginação/Ano: v.19, n.7 , p.2577-94, 1990
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BOLFARINE, Heleno; RODRIGUES, Josemar. Finite population prediction under a linear function superpopulation model: a bayesian perspective. Communications Statistics: Theory Methods, New York, v. 19, n. 7 , p. 2577-94, 1990. DOI: 10.1080/03610929008830335. -
APA
Bolfarine, H., & Rodrigues, J. (1990). Finite population prediction under a linear function superpopulation model: a bayesian perspective. Communications Statistics: Theory Methods, 19( 7 ), 2577-94. doi:10.1080/03610929008830335 -
NLM
Bolfarine H, Rodrigues J. Finite population prediction under a linear function superpopulation model: a bayesian perspective. Communications Statistics: Theory Methods. 1990 ;19( 7 ): 2577-94. -
Vancouver
Bolfarine H, Rodrigues J. Finite population prediction under a linear function superpopulation model: a bayesian perspective. Communications Statistics: Theory Methods. 1990 ;19( 7 ): 2577-94. - Review and some extensions on distribution free Bayesian approaches for estimation and prediction
- On the simple projection predictor in finite populations
- Bayesian shrunken predictor in repeated sampling
- Nonlinear Bayesian least-squares theory and the inverse linear regression
- Comparing several accelerated life models
- Nonlinear quasi-bayesian theory and inverse linear regression
- Some asymptotic results on generalized regression predictors in survey sampling
- Inverse Gaussian distribution: a Bayesian approach
- A note on Bayesian least squares estimators of time-varying regression coefficients
- Kalman filter model for single and two-stage repeated surveys
Informações sobre o DOI: 10.1080/03610929008830335 (Fonte: oaDOI API)
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