Conditional likelihood inference in a heteroscedastic functional measurement error model (2023)
- Authors:
- Autor USP: ANDRADE FILHO, MÁRIO DE CASTRO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.chemolab.2023.105005
- Subjects: VEROSSIMILHANÇA; ESTATÍSTICA SUFICIENTE; INFERÊNCIA ESTATÍSTICA
- Keywords: Errors-in-variables model; Conditional maximum likelihood
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Chemometrics and Intelligent Laboratory Systems
- ISSN: 0169-7439
- Volume/Número/Paginação/Ano: v. 243, p. 1-6
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GALEA ROJAS, Manuel Jesus e CASTRO, Mário de. Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, v. 243, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2023.105005. Acesso em: 27 jan. 2026. -
APA
Galea Rojas, M. J., & Castro, M. de. (2023). Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, 243, 1-6. doi:10.1016/j.chemolab.2023.105005 -
NLM
Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2026 jan. 27 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005 -
Vancouver
Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2026 jan. 27 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005 - Bayesian frailty models for multi-state survival data
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Informações sobre o DOI: 10.1016/j.chemolab.2023.105005 (Fonte: oaDOI API)
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