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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 ...
Estudo comparativo de métodos de estimação do modelo de resposta gradual para dados de burnout em enfermeiras
(Universidade Federal de São Carlos, 2020-04-27)
The graded response model is an Item Response Theory (IRT) model where items admit a polytomous response widely known in the literature. The motivation for this study comes from a data set which belongs to the RN4CAST ...
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 ...
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, ...
Análise teórica e computacional de processos estocásticos inspirados em sistemas biológicos.
(Universidade Federal de São Carlos, 2020-01-06)
The aim of this work is to present two methodologies based on the theoretical and computational analysis of continuous time stochastic processes inspired by biological systems, whose dynamics are influenced by the stochastic ...
Distribuições discretas zero-modificadas para modelar dados de contagem zeros faltantes
(Universidade Federal de São Carlos, 2020-01-24)
The analysis of count data takes an important place in applied statistics, since many real problems are expressed in terms of counts. Frequently, count data sets have discrepancies in the frequency of the zero observation, ...
Modelos de riscos competitivos no estudo de evasão discente
(Universidade Federal de São Carlos, 2020-02-11)
Dropout is a problem faced by public and private universities. Therefore, the motivation of
this work is to investigate the characteristics of students enrolled in a regular undergraduate
course and verify which one is ...
O Modelo de Regressão Potência-Normal Logística, Cauchy, Normal e Gumbel para resposta no intervalo unitário
(Universidade Federal de São Carlos, 2020-07-17)
In this research a new statistical model is introduced to model data restricted in the continuous interval (0,1) . The new model is the composition of the power-normal distribution and the quantile of another family of ...
Conditional independence testing, two sample comparison and density estimation using neural networks
(Universidade Federal de São Carlos, 2020-08-03)
Given the vast amount of data available nowadays and the rapid increase of computational processing power, the field of machine learning and the so called algorithmic modeling have seen a recent surge in its popularity and ...
Modelos de Lévy de atividade infinita
(Universidade Federal de São Carlos, 2020-06-12)
In this work, we present a class of pure jump Lévy processes A, with internal filtration and
Itô-Lévy decomposition and we established an explicit forms for martingale representation,
main component of our process. ...