Navegando Interinstitucional em Estatística - PIPGEs por assunto "Modelos de fragilidade"

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    • Reliability analysis of repairable systems considering unobserved heterogeneity and competing risks 

      Brito, Éder Silva de (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 09/10/2023)
      In repairable systems, the failure process defined by the failure intensity function can be impacted by three crucial characteristics: the type of repair performed after the failures occur, the underlying cause of the ...

    • Modelos multiestado com fragilidade 

      Costa, Renata Soares da (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 31/03/2016)
      Often intermediate events provide more detailed information about the disease process or recovery, for example, and allow greater accuracy in predicting the prognosis of patients. Such non-fatal events during the course ...

    • Modeling based on a reparameterized Birnbaum-Saunders distribution for analysis of survival data 

      Leão, Jeremias da Silva (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 09/01/2017)
      In this thesis we propose models based on a reparameterized Birnbaum-Saunder (BS) distribution introduced by Santos-Neto et al. (2012) and Santos-Neto et al. (2014), to analyze survival data. Initially we introduce the ...

    • Cure rate models: alternatives methods to estimate the cure rate 

      Rodrigues, Juliana Scudilio (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 16/07/2020)
      Cure rate models in survival data studies has formed an important field in the area and has attracted the attention of researchers. In the search for new models of cure rate, the objective of this work is to propose ...

    • Modelo de dispersão Hiper-Poisson para variáveis discretas observáveis e não observáveis 

      Santos, Daiane de Souza (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 06/12/2019)
      Poisson distribution is widely used to model count data, however it has the disadvantage the assumption that the data must have equal mean and variance, which is not always true, since in many situations the phenomenon ...