Inference in a linear functional relationship with replications (2021)
- Authors:
- USP affiliated authors: MORETTIN, PEDRO ALBERTO - IME ; BOLFARINE, HELENO - IME
- Unidade: IME
- DOI: 10.1214/21-BJPS498
- Subjects: INFERÊNCIA PARAMÉTRICA; TESTES DE HIPÓTESES; REGRESSÃO LINEAR
- Keywords: Linear functional relationship; replicated observations; maximum likelihood estimation; unbiased estimating equations; asymptotic normality; Wald statistic
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Associação Brasileira de Estatística
- Publisher place: São Paulo
- Date published: 2021
- Source:
- Título: Brazilian Journal of Probability and Statistics
- ISSN: 0103-0752
- Volume/Número/Paginação/Ano: v. 35, n. 3, p. 569-589, 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
HOKAMA, Julio et al. Inference in a linear functional relationship with replications. Brazilian Journal of Probability and Statistics, v. 35, n. 3, p. 569-589, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS498. Acesso em: 04 mar. 2026. -
APA
Hokama, J., Morettin, P. A., Bolfarine, H., & Galea Rojas, M. J. (2021). Inference in a linear functional relationship with replications. Brazilian Journal of Probability and Statistics, 35( 3), 569-589. doi:10.1214/21-BJPS498 -
NLM
Hokama J, Morettin PA, Bolfarine H, Galea Rojas MJ. Inference in a linear functional relationship with replications [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 3): 569-589.[citado 2026 mar. 04 ] Available from: https://doi.org/10.1214/21-BJPS498 -
Vancouver
Hokama J, Morettin PA, Bolfarine H, Galea Rojas MJ. Inference in a linear functional relationship with replications [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 3): 569-589.[citado 2026 mar. 04 ] Available from: https://doi.org/10.1214/21-BJPS498 - Maximum likelihood estimation in linear functional relationships with replications
- Consistent estimation in functional linear relashionships 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
Informações sobre o DOI: 10.1214/21-BJPS498 (Fonte: oaDOI API)
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