The linear least squares prediction approach to populations with trend (1985)
- Authors:
- USP affiliated authors: BOLFARINE, HELENO - IME ; SANDOVAL, MONICA CARNEIRO - IME
- Unidade: IME
- Assunto: AMOSTRAGEM
- Language: Inglês
- Imprenta:
-
ABNT
BOLFARINE, Heleno e SANDOVAL, Monica Carneiro. The linear least squares prediction approach to populations with trend. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/09f2a899-6133-4f24-b178-e9b597e1b60c/313783.pdf. Acesso em: 11 out. 2024. , 1985 -
APA
Bolfarine, H., & Sandoval, M. C. (1985). The linear least squares prediction approach to populations with trend. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/09f2a899-6133-4f24-b178-e9b597e1b60c/313783.pdf -
NLM
Bolfarine H, Sandoval MC. The linear least squares prediction approach to populations with trend [Internet]. 1985 ;[citado 2024 out. 11 ] Available from: https://repositorio.usp.br/directbitstream/09f2a899-6133-4f24-b178-e9b597e1b60c/313783.pdf -
Vancouver
Bolfarine H, Sandoval MC. The linear least squares prediction approach to populations with trend [Internet]. 1985 ;[citado 2024 out. 11 ] Available from: https://repositorio.usp.br/directbitstream/09f2a899-6133-4f24-b178-e9b597e1b60c/313783.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
- Empirical bayesian prediction in the location error in variables superpopulation model
- 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
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