Consistent estimation in functional linear relashionships with replications (2001)
- Authors:
- USP affiliated authors: MORETTIN, PEDRO ALBERTO - IME ; BOLFARINE, HELENO - IME
- Unidade: IME
- Assunto: INFERÊNCIA PARAMÉTRICA
- Language: Inglês
- Imprenta:
-
ABNT
HOKAMA, Julio et al. Consistent estimation in functional linear relashionships with replications. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/eaa6299d-3a44-4280-83ab-8235c65caf36/1217081.pdf. Acesso em: 05 mar. 2026. , 2001 -
APA
Hokama, J., Morettin, P. A., Bolfarine, H., & Galea Rojas, M. J. (2001). Consistent estimation in functional linear relashionships with replications. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/eaa6299d-3a44-4280-83ab-8235c65caf36/1217081.pdf -
NLM
Hokama J, Morettin PA, Bolfarine H, Galea Rojas MJ. Consistent estimation in functional linear relashionships with replications [Internet]. 2001 ;[citado 2026 mar. 05 ] Available from: https://repositorio.usp.br/directbitstream/eaa6299d-3a44-4280-83ab-8235c65caf36/1217081.pdf -
Vancouver
Hokama J, Morettin PA, Bolfarine H, Galea Rojas MJ. Consistent estimation in functional linear relashionships with replications [Internet]. 2001 ;[citado 2026 mar. 05 ] Available from: https://repositorio.usp.br/directbitstream/eaa6299d-3a44-4280-83ab-8235c65caf36/1217081.pdf - Inference in a linear functional relationship with replications
- Maximum likelihood estimation in linear functional relationships with replications
- Indirect estimation of randomized generalized autoregressive conditional heteroskedastic models
- Utilização de ondaletas em modelos com mudança de regime
- Wavelets in state space models
- Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions
- Comparing non-stationary and irregularly spaced time series
- Walsh-function analysis of a certain class of time series
- Limit theorems for stationary and dyadic-stationary processes
- A note on a central limit theorem for dependent random variables
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