Browsing by CNPq Subject "CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::REGRESSAO E CORRELACAO"
Now showing items 1-20 of 47
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Modelos Lomax assimétricos: uma nova abordagem para a classificação de dados binários desbalanceados
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Estatística - PPGEs, Câmpus São Carlos, 17/05/2023)Imbalanced data refers to a dataset where one class has significantly fewer observations than the other class. This can lead to poor performance of both machine learning algorithms and statistical models, since most of ... -
Classifcação binária via Bayes Ingênuo: um estudo comparativo de predições
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 17/03/2023)In this undergraduate thesis, we propose a review of the Naive Bayes classifcation method applied to binary response variables, with a more in-depth formalization of the Gaussian Naive Bayes and Flexible Naive Bayes ... -
Reliability analysis of repairable systems considering unobserved heterogeneity and competing risks
(Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 09/10/2023)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 ... -
Uso de propriedades colorimétricas na estimativa das propriedades físicas e mecânicas de madeiras tropicais
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Engenharia Civil - PPGECiv, Câmpus São Carlos, 28/11/2023)Research into alternative methods for estimating wood properties has gained prominence due to the difficulties inherent in this process. Such difficulties include the lack of laboratories and specialized equipment necessary ... -
Uma abordagem bayesiana para avaliação de concordância entre dispositivos de medição de uma variável funcional
(Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 15/09/2023)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 ... -
Métodos de colapsagem de variantes raras para mapeamento de QTLs
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/01/2024)The mapping of regions in the genome associated with quantitative traits (QTLs) through SNP-type genetic markers has been one of the central problems in Genetics and Molecular Biology and several methods of detection and ... -
Distribuição da estatística de Wald em amostras finitas para modelos GAMLSS paramétricos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/08/2023)In parametric regression models, we often want to test hypotheses regarding the values of their parameters. Specifically, when we depart from the general linear model (random errors with a Normal distribution), the Wald ... -
Uma abordagem estatística para a análise dos resultados das eleições presidenciais
(Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 15/01/2024)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 ... -
Comparação de penetrômetros e identificação de fatores na resistência mecânica do solo à penetração via modelos mistos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 31/01/2024)It is common knowledge that one of the main sources of the Brazilian economy is attributed to agriculture. In Brazil, agriculture is a competitive field, being a very rich and diversified economic sector, as well as a ... -
Modelagem de predição de crimes na região metropolitana de São Paulo
(Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 13/12/2023)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 ... -
Modelo de classificação para dados desbalanceados: método SMOTE e variantes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)Often, in classification models, we encounter databases that have highly imbalanced classes, such as: rare disease diagnostic data, manufacturing defects, fraudulent transactions, etc. Training a model on a dataset with ... -
New families of linear and partially linear quantile regression models under reparameterized Marshall-Olkin distributions
(Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 31/07/2023)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 ... -
Estratégias de reamostragem aplicadas em problemas de classificação binária de dados financeiros
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/08/2023)Many binary classification problems exhibit unbalanced classes, which consists of one of the two classes being significantly more numerous than the other. The minority class is the least representative, with far fewer ... -
A estatística no futebol: uma análise dos principais fatores que influenciam o número de gols feitos pelos jogadores no campeonato inglês
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/01/2023)Soccer is considered one of the most popular sports in the world and its relevance is reflected not only in the crowds that fill the stadiums around the 5 continents within the most varied championships, but also proves ... -
A robust lasso regression for linear mixed-effects models with diagnostic analysis
(Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 22/10/2021)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, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 14/10/2022)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, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 20/12/2022)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 ... -
Multivariate Copula-based SUR Tobit Models : a modified inference function for margins and interval estimation
(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 ... -
Métodos de detecção de fraude em cartões de crédito: um estudo comparativo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/04/2022)The arrival of the pandemic radically changed the consumption habits of goods and services, starting to occur almost exclusively in the virtual world, which in turn, in the context of fraud, has a greater number of loopholes ... -
A distribuição normal-valor extremo generalizado para a modelagem de dados limitados no intervalo unitário (0, 1)
(Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 28/06/2019)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 ...