Buscar
Mostrando ítems 1-10 de 12
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 ...
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 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, ...
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 ...
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 ...
Um procedimento para seleção de variáveis em modelos lineares generalizados duplos
(Universidade Federal de São Carlos, 2019-04-01)
The double generalized linear models (DGLM), unlike the generalized linear model (GLM), allow the fit of the dispersion parameter of the response variable as a function of predictor variables, improving the way of modeling ...
Modelos série de potência zero-modificado para séries temporais com dados de contagem
(Universidade Federal de São Carlos, 2019-05-10)
The goal of this work is to propose the Zero-Modified models with Power Series distribution (ZMPS) for time series with counting data. The ZMPS model have a huge portfolio of count data distributions wherein, with an ...
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 ...
A robust lasso regression for linear mixed-effects models with diagnostic analysis
(Universidade Federal de São Carlos, 2021-10-22)
Variable selection has been a topic of great interest for statisticians and researchers alike. The choice of the best subset of predictors may be carried out with the objective of improving prediction or for easier ...
Modelo poisson zero-modificado com efeito aleatório para dados longitudinais
(Universidade Federal de São Carlos, 2019-12-09)
In this work we present the Zero-Modified Poisson model with Normal random effect, and the Zero-Modified Poisson model with Generalized Log-Gamma random effect, which are extensions of the Zero-Modified Poisson model. Since ...