• Modelagem de dados de sobrevivência com eventos recorrentes via fragilidade discreta 

      Macera, Márcia Aparecida Centanin (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 02/09/2015)
      In this thesis it is proposed alternative methodologies and extensions on models for recurrent event data. Speci cally, we propose a model in which the distribution of the gap time is easily derived from the marginal ...
    • Modelo alfa normal assimétrico multivariado para redes de classificação 

      Souza, Anderson Luiz Ara (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 16/03/2016)
      In this Thesis we expose the proposition of a new class of probability distributions, the so called alpha skew normal multivariate, an extension of the univariate Normal Alpha distribution, introduced by Elal-Olivero (2010). ...
    • Modelo Weibull modificado de longa duração 

      Oliveira, Cleyton Zanardo de (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 07/12/2011)
      When a group of patients is monitored until a pre-established date for observation of the recurrence time of an event, it is possible that, at the end of the monitoring period, a parcel of such group has not yet suffered ...
    • Novas distribuições em análise de sobrevivência envolvendo composição e correlação dentre as causas competitivas 

      Marchi, Vitor Alex Alves de (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 14/08/2015)
      In this thesis, we construct distribution functions for analysis of lifetimes with the focus in scenes of latent risks inspired in models of the carcinogenesis process. Some properties of these distribution functions are ...
    • Multivariate Copula-based SUR Tobit Models : a modified inference function for margins and interval estimation 

      Silva, Paulo Henrique Ferreira da (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 30/09/2015)
      In this thesis, we extend the analysis of multivariate Seemingly Unrelated Regression (SUR) Tobit models by modeling their nonlinear dependence structures through copulas. The capability in coupling together the diferent ...
    • Models for inflated data applied to credit risk analysis 

      Oliveira Júnior, Mauro Ribeiro de (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 27/09/2016)
      In this thesis, we introduce a methodology based on zero-inflated survival data for the purposes of dealing with propensity to default (credit risk) in bank loan portfolios. Our approach enables us to accommodate three ...
    • Time series forecasting : advances on Theta method 

      Fiorucci, José Augusto (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 13/05/2016)
      Accurate and robust forecasting methods for univariate time series are critical as the historical data can be used in the strategic planning of such future operations as buying and selling to ensure product inventory and ...
    • Avaliação esportiva utilizando técnicas multivariadas: construção de indicadores e sistemas online 

      Maiorano, Alexandre Cristovão (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 10/10/2014)
      The main objective of this research is to provide statistical tools that allow the comparison of individuals in a speci ed sports category. Particularly, the present study is focused on the performance evaluation in ...
    • Modelos alternativos em filas M/G/1 

      Prado, Silvia Maria (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 26/11/2015)
      The main aim of this work is to develop alternative queuing models to M/ G/l, in which arrivals follow a Poisson process, the total number of customers on the system and the total number of service channels are unknown. ...