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Reliability analysis of repairable systems considering unobserved heterogeneity and competing risks
(Universidade Federal de São Carlos, 2023-10-09)
In repairable systems, the failure process defined by the failure intensity function can be impacted by three crucial characteristics: the type of repair performed after the failures occur, the underlying cause of the ...
Uma abordagem bayesiana para avaliação de concordância entre dispositivos de medição de uma variável funcional
(Universidade Federal de São Carlos, 2023-09-15)
It is common in the industrial and clinical context to seek more precision, accurate, accessible and cheaper equipments. Therefore, it is important for these fields to have a way to compare the agreement of new devices ...
Uma abordagem estatística para a análise dos resultados das eleições presidenciais
(Universidade Federal de São Carlos, 2024-01-15)
Multiparty data has characteristics that make it compositional data such as a constant sum of components and a limited space known as simplex. Thus, the purpose of the work is to develop a methodology to analyze multi-party ...
Modelagem de predição de crimes na região metropolitana de São Paulo
(Universidade Federal de São Carlos, 2023-12-13)
The issue of public security is a challenge for Brazilian society, and crime is a major concern for the most populous state in the country, São Paulo. It is always desirable for the public administration to model and predict ...
New families of linear and partially linear quantile regression models under reparameterized Marshall-Olkin distributions
(Universidade Federal de São Carlos, 2023-07-31)
In this dissertation, we propose families of linear and partially linear quantile regression models,
where the response variable follows a reparameterized Marshall-Olkin distribution with support
on the real line. This ...
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 ...
Métodos de estimação baseados em modelos na presença de dados faltantes
(Universidade Federal de São Carlos, 2022-10-14)
The missing data are observations that should have been made, but were not for some reason,
thus reducing the ability to understand the nature of the phenomenon, in addition to making it
difficult to extract information ...
Extensões do resíduo quantílico
(Universidade Federal de São Carlos, 2022-12-20)
Regression models have profound importance in analyses that aim to investigate the relationship between a dependent variable and a set of predictor variables. The diagnostic analysis is a fundamental step in validating a ...
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 ...
Penalized regression methods for compositional data
(Universidade Federal de São Carlos, 2018-12-10)
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 ...