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Filtros : "Indexado no Zentralblatt MATH" "Irã" Removidos: "Gilbody, Simon" "OLIVEIRA, NELSON CÔRTES DE" "IGC" Limpar

Filtros

Colaboração institucional
Afiliação dos autores externos normalizada
Afiliação dos autores externos não normalizada
- benha university - mathematics and insurance - department of statistics - benha, egypt (1)
- federal university of technology - department of mathematic, damat - curitiba, paraná (1)
- hacettepe university - department of statistics - turkey (1)
- marquette university - department of mathematics, statistics and computer science - milwaukee, usa (1)
- persian gulf university - department of statistics, faculty of sciences - bushehr, iran (1)

Artigo de periodico
The odd log-logistic exponentiated Weibull distribution: regression modeling, properties, and applications (2018)
Afify, Ahmed Z.; Alizadeh, Morad; Zayed, Mohamed; Ramires, Thiago Gentil; Louzada, Francisco
Fonte: Iranian Journal of Science and Technology, Transactions A: Science. Unidade: ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AFIFY, Ahmed Z. et al. The odd log-logistic exponentiated Weibull distribution: regression modeling, properties, and applications. Iranian Journal of Science and Technology, Transactions A: Science, v. 42, n. 4, p. 2273-2288, 2018Tradução . . Disponível em: https://doi.org/10.1007/s40995-018-0524-x. Acesso em: 06 nov. 2024.
APA
Afify, A. Z., Alizadeh, M., Zayed, M., Ramires, T. G., & Louzada, F. (2018). The odd log-logistic exponentiated Weibull distribution: regression modeling, properties, and applications. Iranian Journal of Science and Technology, Transactions A: Science, 42( 4), 2273-2288. doi:10.1007/s40995-018-0524-x
NLM
Afify AZ, Alizadeh M, Zayed M, Ramires TG, Louzada F. The odd log-logistic exponentiated Weibull distribution: regression modeling, properties, and applications [Internet]. Iranian Journal of Science and Technology, Transactions A: Science. 2018 ; 42( 4): 2273-2288.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s40995-018-0524-x
Vancouver
Afify AZ, Alizadeh M, Zayed M, Ramires TG, Louzada F. The odd log-logistic exponentiated Weibull distribution: regression modeling, properties, and applications [Internet]. Iranian Journal of Science and Technology, Transactions A: Science. 2018 ; 42( 4): 2273-2288.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s40995-018-0524-x
Artigo de periodico
The odd log-logistic Lindley Poisson model for lifetime data (2017)
Ozel, Gamze; Alizadeh, Morad; Cakmakyapan, Selen; Hamedani, G. G.; Ortega, Edwin Moises Marcos; Cancho, Vicente Garibay
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OZEL, Gamze et al. The odd log-logistic Lindley Poisson model for lifetime data. Communications in Statistics - Simulation and Computation, v. 46, n. 8, p. 6513-6537, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610918.2016.1206931. Acesso em: 06 nov. 2024.
APA
Ozel, G., Alizadeh, M., Cakmakyapan, S., Hamedani, G. G., Ortega, E. M. M., & Cancho, V. G. (2017). The odd log-logistic Lindley Poisson model for lifetime data. Communications in Statistics - Simulation and Computation, 46( 8), 6513-6537. doi:10.1080/03610918.2016.1206931
NLM
Ozel G, Alizadeh M, Cakmakyapan S, Hamedani GG, Ortega EMM, Cancho VG. The odd log-logistic Lindley Poisson model for lifetime data [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 8): 6513-6537.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/03610918.2016.1206931
Vancouver
Ozel G, Alizadeh M, Cakmakyapan S, Hamedani GG, Ortega EMM, Cancho VG. The odd log-logistic Lindley Poisson model for lifetime data [Internet]. Communications in Statistics - Simulation and Computation. 2017 ; 46( 8): 6513-6537.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/03610918.2016.1206931

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