A new regression model for positive random variables with skewed and long tail (2021)
- Authors:
- Autor USP: ANDRADE FILHO, MÁRIO DE CASTRO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s40300-021-00203-y
- Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO; DISTRIBUIÇÕES (PROBABILIDADE); VEROSSIMILHANÇA
- Keywords: Beta prime distribution; Generalized beta of the second kind; Local influence; Residuals; Variance function
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2021
- Source:
- Título: Metron: international journal of statistics
- ISSN: 0026-1424
- Volume/Número/Paginação/Ano: v. 79, p. 33-55, 2021
- Este artigo NÃO possui versão em acesso aberto
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Status: Nenhuma versão em acesso aberto identificada -
ABNT
BOURGUIGNON, Marcelo e SANTOS-NETO, Manoel e CASTRO, Mário de. A new regression model for positive random variables with skewed and long tail. Metron: international journal of statistics, v. 79, p. 33-55, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40300-021-00203-y. Acesso em: 15 mar. 2026. -
APA
Bourguignon, M., Santos-Neto, M., & Castro, M. de. (2021). A new regression model for positive random variables with skewed and long tail. Metron: international journal of statistics, 79, 33-55. doi:10.1007/s40300-021-00203-y -
NLM
Bourguignon M, Santos-Neto M, Castro M de. A new regression model for positive random variables with skewed and long tail [Internet]. Metron: international journal of statistics. 2021 ; 79 33-55.[citado 2026 mar. 15 ] Available from: https://doi.org/10.1007/s40300-021-00203-y -
Vancouver
Bourguignon M, Santos-Neto M, Castro M de. A new regression model for positive random variables with skewed and long tail [Internet]. Metron: international journal of statistics. 2021 ; 79 33-55.[citado 2026 mar. 15 ] Available from: https://doi.org/10.1007/s40300-021-00203-y - Conditional predictive inference for beta regression model with autoregressive errors
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