http://repositorio.ufc.br/handle/riufc/22108 2026-05-25T19:07:55Z http://repositorio.ufc.br/handle/riufc/85932 Título: Seleção de efeitos aleatórios em modelos lineares mistos Autor(es): Andrades, Lucas Filipe Sousa de Abstract: Experiments with longitudinal data have a characteristic that differs from experiments with cross-sectional data in that the sample units are observed more than once through pre-established evaluation conditions in the study. Consequently, the statistical analysis of these data is more complex; for example, both inter-unit and intra-unit dispersion must be taken into account in the analysis and it is extremely important to choose the covariance structure well. With regard to modeling longitudinal data, a very common alternative is the use of latent variable models, such as the class of linear mixed models, or two-stage models, as described by Laird and Ware (1982, Biometrics), which is a class of regression models in which fixed and random coefficients make up their functional structure. This class has gained popularity and much of the effort put into the modeling process is in selecting efficient fixed and random terms to make up the model. Some techniques have been proposed for this purpose, but Singer and Rocha (2017, Journal of Applied Statistics) comment that they should not be used exclusively but should be used together. In this context, we present a set of techniques proposed by the authors to select fixed and random coefficients in linear mixed models by means of hypothesis testing. Tipo: TCC 2023-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/85931 Título: Análise de risco na elasticidade preço demanda: uma aplicação no mercado petrolífero brasileiro Autor(es): Pereira, Leonardo Medeiros Abstract: Statistical science is composed of various types of methods, and some are essential for verifying trends and uncertainties, especially when dealing with market products. In this work, we will make an intersection of knowledge, using risk analysis and elasticity, highlighting how statistical tools can assist in understanding an uncertain economic environment. To execute this knowledge, we use data from ANP (National Agency of Petroleum, Natural Gas, and Biofuels) regarding the oil market and World Bank data on Brazilian GDP from 2014 to 2023. The application begins with a global descriptive analysis of the oil market, culminating in the application of two methods focused on the demand for oil in Brazil. Tipo: TCC 2025-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/85718 Título: Ferramentas de diagnóstico para dados de contagem inflacionados de zeros Autor(es): Lira, José Diego Souza Abstract: Count data with excess zeros are common in several applied fields, such as health sciences, social sciences, and agronomy, posing challenges to traditional modeling approaches initially based on the Poisson distribution, which assumes equidispersion. In this study, models within the framework of Generalized Linear Models (GLMs) were investigated and applied to handle such data sets, namely the Poisson model, the Negative Binomial model, and the zero-inflated models ZIP (Zero-Inflated Poisson) and ZINB (Zero-Inflated Negative Binomial). The main objective was to compare the performance of these models using a real data set from a marital therapy study, in which the response variable is the number of steps toward divorce (MSI), characterized by excess zeros and overdispersion. In addition to model fitting, diagnostic tools were developed and applied, including Pearson and deviance residuals, quantile residuals, HNP plots, Quantile–Quantile plots with simulated envelopes, worm plots, and Cook’s distance, in order to assess model adequacy and identify potential influential observations. The results indicated that the ZIP and ZINB models provided a better fit to the data, presenting lower AIC and BIC values and residuals with more satisfactory behavior. The Vuong test did not indicate a statistically significant difference between the ZIP and ZINB models, suggesting that the ZIP model, due to its greater parsimony, may be preferable for the analyzed data set. Tipo: TCC 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/85710 Título: Estatística aplicada à gestão hospitalar: uma solução automatizada de business intelligence para geração de indicadores na rede EBSERH Autor(es): Batista, Francisco Gustavo Braga Abstract: This paper presents the development of a BI application aimed at the automated generation of hospital indicators to support the management of the EBSERH network. The proposed solution seeks to overcome challenges faced by public hospitals in the construction and systematic use of indicators, such as the lack of technical staff and reliance on manual processes. The developed architecture integrates an automated ETL (Extract, Transform, Load) pipeline, implemented in the R programming language through the PaRGHA package, and executed in the Microsoft Azure cloud platform. Data are extracted from the Department of Information and Informatics of the SUS (DATASUS) data platform, transformed according to the Standard Operating Procedures (SOPs) provided by EBSERH, and stored in a DW. The indicators are visualized in an interactive Power BI dashboard, updated monthly, enabling historical and comparative analyses. The application combines statistical foundations with modern technologies, promoting greater efficiency, standardization, and evidence-based decision-making support. The solution is scalable, reproducible, and represents a meaningful contribution to public hospital management. Tipo: TCC 2025-01-01T00:00:00Z