A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil (2021)
- Authors:
- USP affiliated authors: ORTEGA, EDWIN MOISES MARCOS - ESALQ ; VASCONCELOS, JULIO CEZAR SOUZA - ESALQ
- Unidade: ESALQ
- DOI: 10.1080/02664763.2021.1890001
- Subjects: CARBONIZAÇÃO; CONSTRUÇÃO CIVIL; DISTRIBUIÇÃO NORMAL; HETEROSCEDASTICIDADE; MADEIRA; MODELOS MATEMÁTICOS; REGRESSÃO LINEAR; VEROSSIMILHANÇA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Applied Statistics
- ISSN: 02664763
- Volume/Número/Paginação/Ano: In press, February 2021
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
VASCONCELOS, Julio Cezar Souza et al. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil. Journal of Applied Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1890001. Acesso em: 23 maio 2024. -
APA
Vasconcelos, J. C. S., Ortega, E. M. M., Vasconcelos, J. S., Cordeiro, G. M., Vivan, A. L., & Biaggioni, M. A. M. (2021). A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil. Journal of Applied Statistics. doi:10.1080/02664763.2021.1890001 -
NLM
Vasconcelos JCS, Ortega EMM, Vasconcelos JS, Cordeiro GM, Vivan AL, Biaggioni MAM. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil [Internet]. Journal of Applied Statistics. 2021 ;[citado 2024 maio 23 ] Available from: https://doi.org/10.1080/02664763.2021.1890001 -
Vancouver
Vasconcelos JCS, Ortega EMM, Vasconcelos JS, Cordeiro GM, Vivan AL, Biaggioni MAM. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil [Internet]. Journal of Applied Statistics. 2021 ;[citado 2024 maio 23 ] Available from: https://doi.org/10.1080/02664763.2021.1890001 - A new extended log-Weibull regression: simulations and applications
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Informações sobre o DOI: 10.1080/02664763.2021.1890001 (Fonte: oaDOI API)
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