Subjects: PROCESSOS DE POISSON, INFERÊNCIA BAYESIANA, MODELAGEM DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, Marco Pollo. Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process. 2019. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2019. Disponível em: https://www.teses.usp.br/teses/disponiveis/104/104131/tde-30092019-090126/. Acesso em: 18 out. 2024.APA
Almeida, M. P. (2019). Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/104/104131/tde-30092019-090126/NLM
Almeida MP. Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process [Internet]. 2019 ;[citado 2024 out. 18 ] Available from: https://www.teses.usp.br/teses/disponiveis/104/104131/tde-30092019-090126/Vancouver
Almeida MP. Statistical inference for non-homogeneous Poisson process with competing risks: a repairable systems approach under power-law process [Internet]. 2019 ;[citado 2024 out. 18 ] Available from: https://www.teses.usp.br/teses/disponiveis/104/104131/tde-30092019-090126/
