Characterization of alternative models for robust linear prediction in finite populations (1984)
- Authors:
- USP affiliated authors: BOLFARINE, HELENO - IME ; RODRIGUES, JOSEMAR - IME
- Unidade: IME
- Assunto: AMOSTRAGEM
- Language: Inglês
- Imprenta:
-
ABNT
BOLFARINE, Heleno e RODRIGUES, Josemar. Characterization of alternative models for robust linear prediction in finite populations. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/4045439b-2e53-4308-b9b3-18406db0268c/313611.pdf. Acesso em: 15 out. 2024. , 1984 -
APA
Bolfarine, H., & Rodrigues, J. (1984). Characterization of alternative models for robust linear prediction in finite populations. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/4045439b-2e53-4308-b9b3-18406db0268c/313611.pdf -
NLM
Bolfarine H, Rodrigues J. Characterization of alternative models for robust linear prediction in finite populations [Internet]. 1984 ;[citado 2024 out. 15 ] Available from: https://repositorio.usp.br/directbitstream/4045439b-2e53-4308-b9b3-18406db0268c/313611.pdf -
Vancouver
Bolfarine H, Rodrigues J. Characterization of alternative models for robust linear prediction in finite populations [Internet]. 1984 ;[citado 2024 out. 15 ] Available from: https://repositorio.usp.br/directbitstream/4045439b-2e53-4308-b9b3-18406db0268c/313611.pdf - Nonlinear quasi-bayesian theory and inverse linear regression
- Bayesian shrunken predictor in repeated sampling
- On the simple projection predictor in finite populations
- Finite population prediction under a linear function superpopulation model: a bayesian perspective
- Comparing several accelerated life models
- Nonlinear quasi-bayesian theory and inverse linear regression
- General theory of prediction in finite populations
- Review and some extensions on distribution free Bayesian approaches for estimation and prediction
- Nonlinear Bayesian least-squares theory and the inverse linear regression
- Comparação de dois modelos exponenciais com dados acelerados: uma abordagem bayesiana
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
313611.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas