A regression model for positive data based on the slashed half-normal distribution (2021)
- Authors:
- Autor USP: ANDRADE FILHO, MÁRIO DE CASTRO - ICMC
- Unidade: ICMC
- Subjects: DISTRIBUIÇÕES (PROBABILIDADE); ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO; VEROSSIMILHANÇA
- Keywords: EM algorithm; gamma distribution; half-normal distribution; slashed distribution
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Revstat Statistical Journal
- ISSN: 1645-6726
- Volume/Número/Paginação/Ano: v. 19, n. 4, p. 553-573, 2021
-
ABNT
GOMEZ, Yolanda Magaly e MATELUNA, Diego Ignacio Gallardo e CASTRO, Mário de. A regression model for positive data based on the slashed half-normal distribution. Revstat Statistical Journal, v. 19, n. 4, p. 553-573, 2021Tradução . . Disponível em: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf. Acesso em: 02 nov. 2024. -
APA
Gomez, Y. M., Mateluna, D. I. G., & Castro, M. de. (2021). A regression model for positive data based on the slashed half-normal distribution. Revstat Statistical Journal, 19( 4), 553-573. Recuperado de https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf -
NLM
Gomez YM, Mateluna DIG, Castro M de. A regression model for positive data based on the slashed half-normal distribution [Internet]. Revstat Statistical Journal. 2021 ; 19( 4): 553-573.[citado 2024 nov. 02 ] Available from: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf -
Vancouver
Gomez YM, Mateluna DIG, Castro M de. A regression model for positive data based on the slashed half-normal distribution [Internet]. Revstat Statistical Journal. 2021 ; 19( 4): 553-573.[citado 2024 nov. 02 ] Available from: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf - Contribuições ao estudo de modelos com erros nas variáveis
- Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial
- The beta generalized gamma distribution
- Frailty models power variance function with cure fraction and latent risk factors negative binomial
- Maximum penalized likelihood inference in classical errors-in-variables model
- New estimation methods for the Grubbs model
- Robust inference in an heteroscedastic measurement error model
- Bayesian transformation models for multivariate survival data
- An alternative promotion time cure model with overdispersed number of competing causes: an application to melanoma data
- Influence assessment in an heteroscedastic errors-in-variables model
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
2971576.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas