The random deterioration rate model with measurement error based on the inverse Gaussian distribution (2021)
- Authors:
- USP affiliated authors: LOUZADA NETO, FRANCISCO - ICMC ; RAMOS, PEDRO LUIZ - ICMC
- Unidade: ICMC
- DOI: 10.1214/20-BJPS468
- Subjects: DISTRIBUIÇÕES (PROBABILIDADE); VEROSSIMILHANÇA; ANÁLISE DE SOBREVIVÊNCIA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Brazilian Journal of Probability and Statistics
- ISSN: 2317-6199
- Volume/Número/Paginação/Ano: v. 35, n. 1, p. 187-204, 2021
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: other-oa
-
ABNT
MORITA, Lia Hanna Martins et al. The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 187-204, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS468. Acesso em: 27 dez. 2025. -
APA
Morita, L. H. M., Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., & Louzada, F. (2021). The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, 35( 1), 187-204. doi:10.1214/20-BJPS468 -
NLM
Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1214/20-BJPS468 -
Vancouver
Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1214/20-BJPS468 - The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values
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Informações sobre o DOI: 10.1214/20-BJPS468 (Fonte: oaDOI API)
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