A regression model for extreme events and the presence of bimodality with application to energy generation data (2021)
- Authors:
- USP affiliated authors: ORTEGA, EDWIN MOISES MARCOS - ESALQ ; VASCONCELOS, JULIO CEZAR SOUZA - ESALQ
- Unidade: ESALQ
- DOI: 10.1049/rpg2.12043
- Subjects: DISTRIBUIÇÃO LOGÍSTICA; DISTRIBUIÇÃO LOGNORMAL; GERAÇÃO DE ENERGIA ELÉTRICA; MODELOS MATEMÁTICOS; REGRESSÃO LOGÍSTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: IET Renewable Power Generation
- ISSN: 1752-1416
- Volume/Número/Paginação/Ano: v. 15, p. 452–461, 2021
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
VASCONCELOS, Julio Cezar Souza et al. A regression model for extreme events and the presence of bimodality with application to energy generation data. IET Renewable Power Generation, v. 15, p. 452–461, 2021Tradução . . Disponível em: https://doi.org/10.1049/rpg2.12043. Acesso em: 19 abr. 2024. -
APA
Vasconcelos, J. C. S., Cordeiro, G. M., Ortega, E. M. M., & Ribeiro, J. G. (2021). A regression model for extreme events and the presence of bimodality with application to energy generation data. IET Renewable Power Generation, 15, 452–461. doi:10.1049/rpg2.12043 -
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Ribeiro JG. A regression model for extreme events and the presence of bimodality with application to energy generation data [Internet]. IET Renewable Power Generation. 2021 ; 15 452–461.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1049/rpg2.12043 -
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM, Ribeiro JG. A regression model for extreme events and the presence of bimodality with application to energy generation data [Internet]. IET Renewable Power Generation. 2021 ; 15 452–461.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1049/rpg2.12043 - A new extended log-Weibull regression: simulations and applications
- A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil
- A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution
- A new regression model for bimodal data and applications in agriculture
- The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data
- The parametric and additive partial linear regressions based on the generalized odd loglogistic log-normal distribution
- An extension of the partially linear Rice regression model for bimodal and correlated data
- An extended logit-normal regression with application to human development index data
- The zero‑inflated negative binomial semiparametric regression model: application to number of failing grades data
- The parametric, semiparametric and random effect regression model based on the extension of the generalized inverse Gaussian distribution
Informações sobre o DOI: 10.1049/rpg2.12043 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 3019543-A regression mode... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
