Estatística - Es
Recent Submissions
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Utilização de métodos de aprendizado de máquina para estimação de escores de propensão
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ... -
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 ... -
Um estudo sobre os impactos de algumas medidas sanitárias na incidência e mortalidade por COVID-19
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 07/04/2022)Since March 2020, Brazil, like the whole world, has been facing a major pandemic caused by COVID-19 (SARS-CoV-2). COVID-19 is a highly transmissible respiratory infection and for this reason governments around the world ... -
Um estudo sobre a provisão de consórcio com séries temporais e machine learning
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 07/04/2022)The consortium sector of a particular company works by dividing its customers into groups that start and finish at the same time the payment of installments of a combined amount to obtain their own vehicle. The acquisition ... -
Estudo e comparação das técnicas de validação cruzada desenvolvidas para séries temporais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)Testing the generalization capacity of an algorithm obtained is crucial for any prediction methodology, for which cross-validation methods were developed. However, when dealing with data that have dependency among observations, ... -
Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)In this work, we propose an in-depth analysis of Graph Convolutional Networks, a semi-supervised machine learning method for node classification in graph-structured data. Based on the seminal work proposed by Thomas Kipf ... -
Árvores hibridas: particionamento recursivo baseado em modelos paramétricos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/04/2022)The present study seeks to explore hybrid trees, so called called recursive partitioning based on parametric models. Such method is based on traditional decision trees (regression and classification tree) and parametric ... -
Métodos de aprendizado ativo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/04/2022)In the field of supervised learning, the good performance of a prediction model is generally tied to the presence of a large labelled training set. However, there are many situations where labelling an instance is expensive ... -
Análise fatorial para dados qualitativos ordinais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 11/06/2021)The use of the factor analysis is appropriate for quantitative data. Therefore, alternatives should be considered to use factor analysis with ordinal data. In this work, exploratory factor analysis for ordinal data is ... -
Análise do desempenho de jogadoras de Handebol do Campeonato Mundial Feminino Juvenil
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 10/11/2021)Athlete performance analysis has become increasingly relevant for In different sports, handball is no different. To perform data classification cluster analysis is a great option. Will be used in this work, some grouping ... -
Um estudo estatístico sobre as redes de aeroportos no Brasil
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 08/11/2021)In this work, we study the evolution of the Brazilian airport networks in order to describe their connectivity structure and to analyze if their structure changed during the pandemic caused by COVID-19. To this end, we ... -
Inferência para modelos de fração de cura zeros inflacionados aplicados a dados de risco de crédito
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/10/2021)Given the great demand for granting credit and service goods, there is a need to be able to control the risk involved in the process. This measure aims to manage possible unwanted events, for example, default, in order to ... -
Métodos de agrupamento longitudinal: uma aplicação em dados de ondas ultrassônicas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/11/2021)The preservation of buildings faces several challenges, such as the wear caused by weather, atmospheric conditions, soil settlement or even lack of proper maintenance. In some cases, such as historical heritage, it is not ... -
Análise de sobrevivência em marketing, considerando o modelo exponencial com fragilidade compartilhada, na predição de churn
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 10/06/2021)Services companies like telephony, health plans, internet and others, have redirect their marketing strategies in the customers retention. By maintaining a business relationship with their consumers, companies guarantee ... -
Modelos lineares generalizados multinomiais univariado e bivariado
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 10/06/2021)This work presents the basical theorics fundaments of the generalized linear models e the caracteristiscs of the univariate multinomial and binomial logistic regression analysis. Practical aplications of binomial regression ... -
Efeitos da Lei Maria da Penha na Região Sudeste
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 11/12/2020)In Brazil, records of domestic violence and femicide are considered very high and represent one of the most expressive forms of violence in the country. It is of interest to investigate the behavior of these registered ... -
Modelo de Séries Temporais Autorregressivo Periódico - PAR
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/06/2021)This work presents the study of a type of time series model, called of periodic autoregressive model, which emerged from the researches of Thomas and Fiering (1962), according to Hipel and McLeod (1994). Its use is mainly ... -
Estudo do teste SNHT (Standart Normal Homogeneity Test) para detecção de pontos de mudança em séries temporais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/06/2021)The study of time series is extremely important for a better understanding how certain events develop over time. To do this, be able to to indicate the exact moment when a given phenomenon changes its pattern of behavior ... -
Um estudo sobre wavestrap
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/06/2021)Wavelets are basis of function spaces that can be used to represent both continuous (functions) and discrete (sequences) signals; wavelets study gained great notoriety after the work of Daubechies, who developed a wavelet ... -
Detecção de alteração no regime pluviométrico da Serra da Cantareira via modelo de espaço de Estados
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/01/2021)In the period between 2014 and 2016, the Southeast region suffered from a severe drought process. According to the 2014 special insert, prepared by the National Water Agency (2014) of the Ministry of the Environment, the ...