Empirical bayesian prediction in the location error in variables superpopulation model (1992)
- Authors:
- USP affiliated authors: BOLFARINE, HELENO - IME ; SANDOVAL, MONICA CARNEIRO - IME
- Unidade: IME
- Assunto: INFERÊNCIA ESTATÍSTICA
- Language: Inglês
- Imprenta:
-
ABNT
BOLFARINE, Heleno e SANDOVAL, Monica Carneiro. Empirical bayesian prediction in the location error in variables superpopulation model. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/f85dee56-452d-4ee3-a131-d8cbb6c3d765/824403.pdf. Acesso em: 19 abr. 2024. , 1992 -
APA
Bolfarine, H., & Sandoval, M. C. (1992). Empirical bayesian prediction in the location error in variables superpopulation model. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/f85dee56-452d-4ee3-a131-d8cbb6c3d765/824403.pdf -
NLM
Bolfarine H, Sandoval MC. Empirical bayesian prediction in the location error in variables superpopulation model [Internet]. 1992 ;[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/f85dee56-452d-4ee3-a131-d8cbb6c3d765/824403.pdf -
Vancouver
Bolfarine H, Sandoval MC. Empirical bayesian prediction in the location error in variables superpopulation model [Internet]. 1992 ;[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/f85dee56-452d-4ee3-a131-d8cbb6c3d765/824403.pdf - Skew-normal linear calibration: a bayesian perspective
- Prediction of the finite population distribution function under gaussian superpopulation models
- Calibração linear no modelo de regressão estrutural com coeficiente de atenuação conhecido
- On predicting the finite population distribution function
- Introdução a inferência estatística
- Linear calibration in functional regression models with one of the variances known
- Regression estimators under multiplicative measurement error superpopulation models
- Previsão do total populacional no modelo ultraestrutural
- Linear calibration in functional regression models
- On predicting the population total under regression models measurement errors
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