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Modelos bayesianos zero-modificados para séries temporais de contagem
(Universidade Federal de São Carlos, 2020-04-30)
This work presents two Bayesian zero-modified (ZM) models for count time series: zero-modified Poisson ARMA and zero-modified COM-Poisson ARMA. The latter allows a greater flexibility since it has an aditional parameter ...
Diagnóstico de Influência Local para a obtenção de dados mascarados influentes em modelos de regressão com erros nas variáveis e propriedades assintóticas do modelo de calibração ultraestrutural
(Universidade Federal de São Carlos, 2020-05-08)
Proficiency testing determines the performance of individual laboratories with respect to specific measurement tests and it is used to monitor the reliability of laboratory measurements. Considering a multivariate measurement ...
Modelo de mistura de regressão: uma abordagem bayesiana
(Universidade Federal de São Carlos, 2020-04-14)
In the current dissertation, we study the mixture regression models and present two Bayesian
methodologies for their estimation. The first one considers the number of components is known
and we propose the use of two ...
Modelos de regressão para dados de contagem k-modificados
(Universidade Federal de São Carlos, 2020-01-21)
In this work the regression model to k-Modified family distributions is proposed. It is understood as modification, the inclusion of a parameter in the probability mass function of the traditional discrete distributions, ...
Métodos de estimação em modelos de efeitos mistos não lineares de caudas pesadas
(Universidade Federal de São Carlos, 2019-12-05)
Parameter estimation in nonlinear mixed-effects models is often challenging. In this thesis,
a comparison of estimation methods for these models is proposed under a frequentist
approach. In the first study, a comparison ...
Modelos de sobrevivência induzidos por fragilidade discreta série de potência zero-modificada
(Universidade Federal de São Carlos, 2020-03-13)
Survival models with a frailty term are presented as an extension of Cox's proportional risk model (COX, 1972), in which a random effect, called frailty, is introduced in the risk function in a multiplicative way with the ...
Neural networks as an optimization tool for regression
(Universidade Federal de São Carlos, 2019-09-02)
Neural networks are a tool to solve prediction problems that have gained much prominence recently. In general, neural networks are used as a predictive method, that is, their are used to estimate a regression function. ...
Modelos não lineares assimétricos com efeitos mistos
(Universidade Federal de São Carlos, 2019-08-02)
This work aims to develop asymmetric nonlinear regression models with mixed-effects, which provide alternatives to the use of normal distribution and other symmetric distributions, in order to avoid the sensitivity in the ...
A distribuição normal-valor extremo generalizado para a modelagem de dados limitados no intervalo unitário (0, 1)
(Universidade Federal de São Carlos, 2019-06-28)
In this research a new statistical model is introduced to model data restricted in the continuous interval (0,1). The proposed model is constructed under a transformation of variables, in which the transformed variable is ...
Avaliação do lasso e métodos alternativos em modelos de regressão logística
(Universidade Federal de São Carlos, 2021-03-11)
Logistic regression has always been an important tool not only in the area of statistics, but also in several other areas such as economic, biological and medical. In many of these areas it is common to encounter problems ...