A new flexible regression model with application to recovery probability Covid-19 patients (2024)
- Authors:
- USP affiliated authors: PRATAVIERA, FÁBIO - ESALQ ; ORTEGA, EDWIN MOISES MARCOS - ESALQ ; CANCHO, VICENTE GARIBAY - ICMC
- Unidades: ESALQ; ICMC
- DOI: 10.1080/02664763.2022.2163229
- Subjects: COVID-19; DADOS CENSURADOS; DISTRIBUIÇÕES (PROBABILIDADE)
- Keywords: Maxwell distribution; mixture model; quantile residuals
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Applied Statistics
- ISSN: 0266-4763
- Volume/Número/Paginação/Ano: v. 51, n. 5, p. 826-844, 2024
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
PRATAVIERA, Fabio et al. A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, v. 51, n. 5, p. 826-844, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2163229. Acesso em: 21 maio 2024. -
APA
Prataviera, F., Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Vila, R. (2024). A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, 51( 5), 826-844. doi:10.1080/02664763.2022.2163229 -
NLM
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 maio 21 ] Available from: https://doi.org/10.1080/02664763.2022.2163229 -
Vancouver
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 maio 21 ] Available from: https://doi.org/10.1080/02664763.2022.2163229 - Reparameterized extended Maxwell regression: properties, estimation and application
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Informações sobre o DOI: 10.1080/02664763.2022.2163229 (Fonte: oaDOI API)
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