• Penalized regression methods for compositional data 

      Shimizu, Taciana Kisaki Oliveira (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 10/12/2018)
      Compositional data consist of known vectors such as compositions whose components are positive and defined in the interval (0,1) representing proportions or fractions of a "whole", where the sum of these components must ...
    • Modelos de sobrevivência para estimação do período de latência do câncer 

      Bettim, Bárbara Beltrame (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 29/06/2017)
      Cancer is responsible for about 13% of all deaths in the world occuring mainly in people who are late diagnosed and in advanced stages. Due to its devastating characteristics and the growing prevalence of the disease, ...
    • Modelagem conjunta de dados longitudinais e de sobrevivência para avaliação de desfechos clínicos do parto 

      Maiorano, Alexandre Cristovão (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 06/12/2018)
      As most pregnancy-related deaths and morbidities are clustered around the time of child birth, the quality of care during this period is crucial for mothers and their babies. To monitor the women at this stage, the partograph ...
    • Bayesian and classical inference for the generalized gamma distribution and related models 

      Ramos, Pedro Luiz (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 22/02/2018)
      The generalized gamma (GG) distribution is an important model that has proven to be very flexible in practice for modeling data from several areas. This model has important sub-models, such as the Weibull, gamma, lognormal, ...
    • Mapas da transmutação : modelagem, propriedades estruturais, estimação e aplicações 

      Granzotto, Daniele Cristina Tita (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 05/12/2016)
      Initially, we use the quadratic transmutation maps to compose a new probability model: the transmuted log-logistic distribution. Transmutation maps are a convenient way of constructing new distributions, in particular ...
    • Técnicas de classificação aplicadas a credit scoring: revisão sistemática e comparação 

      Frazzato Viana, Renato (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 18/12/2015)
      Nowadays the increasing amount of bank transactions and the increasing of data storage created a demand for risk evaluation associated with personal loans. It is very important for a company has a very good tools in credit ...
    • A new class of discrete models for the analysis of zero-modified count data 

      Silva, Wesley Bertoli da (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 03/04/2020)
      In this work, a new class of discrete models for the analysis of zero-modified count data has been introduced. The proposed class is composed of hurdle versions of the Poisson-Lindley, Poisson-Shanker, and Poisson-Sujatha ...
    • Frailty model for multiple repairable systems hierarchically represented in serial/parallel structures under assumption of ARAm imperfect repairs 

      Gonzatto Junior, Oilson Alberto (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 27/04/2021)
      The main objective of this thesis is to extend the methodology used to treat failure time data. In particular, we wish to propose an appropriate modeling to a context of hierarchically represented repairable systems, subject ...