A5088622667- Hydrology and Drought Analysis
- Financial Risk and Volatility Modeling
- Statistical Methods and Inference
- Climate variability and models
- Health, Nursing, Elderly Care
- Intimate Partner and Family Violence
- Probabilistic and Robust Engineering Design
- Statistical Distribution Estimation and Applications
- Lysosomal Storage Disorders Research
- Youth, Drugs, and Violence
- Maternal and Neonatal Healthcare
- Bayesian Methods and Mixture Models
- Female Genital Mutilation/Cutting Issues
- Physical Education and Gymnastics
- Science and Education Research
- Carbohydrate Chemistry and Synthesis
- Global Maternal and Child Health
- Syphilis Diagnosis and Treatment
- Healthcare Regulation
- Substance Abuse Treatment and Outcomes
- Elder Abuse and Neglect
- Alcohol Consumption and Health Effects
- Enzyme Production and Characterization
- Innovation Diffusion and Forecasting
- Soil Geostatistics and Mapping
Universidade Federal do Piauí
2015-2024
Faculdade Brasil
2021
Centro de Tecnologias Estratégicas do Nordeste
2021
Secretaria de Educação de Pernambuco
2021
Universidade Estadual do Maranhão
2021
Universidade Católica Portuguesa
1988-2015
Hospital de Clínicas da Unicamp
2006
Speeding violations are intended as both punitive and educational actions for drivers who exceed the maximum allowed speed on roads. From a tax collection perspective, they have significant impact municipal budget. Extreme Value Theory has been valuable tool modeling distribution of speeding violations. Additionally, it is equally important to model daily number occurrences. A powerful method jointly variables Compound Poisson Process. By understanding behavior infractions, we can estimate...
This paper investigates the strategic pricing of consumer durable products which can be acquired through either purchase or reproduction (e.g., computer software). As copy piracy results in an opportunity loss, its adverse effect on profits needs to incorporated decisions such as pricing. Using a dual diffusion model parsimoniously describes sales and copying, employing control theory methodology, optimal price trajectories are derived for period monopoly. The indicate that (a) absence any...
Throughout Brazil, Cryptococcus neoformans is the cause of cryptococcosis, whereas gattii endemic to northern and northeastern states. In this study, molecular types 63 cryptococcal isolates recovered from cerebrospinal fluid meningitis patients diagnosed between 2008-2010 in Teresina, Piauí, were analysed. Out patients, 37 (58.7%) human immunodeficiency virus (HIV)-positive 26 (41.3%) HIV-negative. URA5-restriction fragment length polymorphism analysis identified 37/63 as C. VNI genotype,...
Broiler building typology associated with the local characteristics (climate, topography and surrounding vegetation) handling systems (stocking density, curtains, equipment nutrition) influence inside environment. A spatial distribution analysis of these conditions may indicate stress zones in house. The aim this research was to apply thermal, aerial acoustic environmental a tunnel ventilated broiler housing, stocking density 18 birds m-2. This study carried out Rio Claro, SP, Brazil, 12 m ×...
In probability theory and statistics, the generalized extreme value (GEV) distribution is a family of continuous distributions developed within theory, which has wide applicability in several areas including hydrology, engineering, science, ecology finance. this paper, we propose three extensions GEV that incorporate an additional parameter. These are more flexible than distribution, i.e., parameter introduces skewness to vary tail weight. these cases, particular case. The estimation new...
To analyze the impact of Covid-19 pandemic on Maternal Mortality Ratio in Brazil from 2018 to 2021.
The HLAMatchmaker algorithm, which allows the identification of “safe” acceptable mismatches (AMMs) for recipients solid organ and cell allografts, is rarely used in part due to difficulty using it current Excel format. automation this algorithm may universalize its use benefit allocation allografts. Recently, we have developed a new software called EpHLA, first computer program automating algorithm. Herein, present experimental validation EpHLA by showing time efficiency quality operation....
Abstract Maximum analysis consists of modeling the maximums a data set by considering specific distribution. Extreme value theory (EVT) shows that, for sufficiently large block size, maxima distribution is approximated generalized extreme (GEV) Under EVT, it important to observe high quantiles In this sense, quantile regression techniques fit using GEV context, work presents extension addition, time‐varying model presented, and properties approach are displayed. The parameter estimation...
To analyze the trend in detection rate of syphilis elderly people Brazil from 2011 to 2019.An ecological, time-series study with data Notifiable Diseases Information System. The temporal rates was analyzed according Prais-Winsten linear regression method.62,765 cases aged were reported. There a growing Brazil. increase approximately six times, mean 25% each year (annual percent change [APC]: 25.0; 95%CI 22.1-28.1). identified both genders and for all age groups, emphasis on females (APC:...
A common approach to modelling extreme data are consider the distribution of exceedance value over a high threshold. This is based on excess, which follows generalized Pareto (GPD) and has shown be adequate for this type situation. As with all involving analysis in time, excesses above threshold may also vary suffer from influence covariates. Thus, GPD can modelled by entering presence these factors. paper presents new model values, where parameters written basis dynamic regression model....
Abrupt changes often occur for environmental and financial time series. Most often, these are due to human intervention. Change point analysis is a statistical tool used analyze sudden in observations along the In this paper, we propose Bayesian model extreme values economic datasets that present typical change behavior. The proposed paper addresses situation which more than one can By analyzing maxima, distribution of each regime generalized value distribution. model, points unknown...
Extreme Value Theory (EVT) is an important tool to predict efficient gains and losses. Its main areas of analyses are economic environmental. Initially, for that form event, it was developed the use patterns parametric distribution such as Normal Gamma. However, environmental data presents, in most cases, a heavy-tailed distribution, contrast those distributions. Thus, faced great difficult frame extreme events. Furthermore, almost impossible conventional models, making predictions about...
Objective: To determine the prevalence of excess weight in individuals with and without mental disorders. Methods: A cross-sectional, quantitative analytical study carried out 167 adult volunteers both sexes, disorders, aged over 18 years, period from October to December 2015. The participants were recruited at Psychosocial Care Center a Basic Health Unit Teresina, Piauí, Brasil. structured form was used collect sociodemographic variables (age, sex, schooling, marital status income)...
Exceedance analysis aims to model extreme data that are in the tail of distribution, with these values being greater than a threshold. In this type modelling, can usually have different types shapes. For exceedance, value theory shows generalized Pareto distribution (GPD) is limit sufficiently large thresholds. The studies on primarily focus estimating probability occurrence events, which highest quantiles distribution. Based this, work proposed quantile regression for GPD where high written...
Abstract The generalized extreme value (GEV) distribution has been widely used in the prediction of events most diverse areas knowledge, being possible calculate accurately quantiles maximum data. Although mean and variance GEV can be written as a function parameters, making reparametrization where parameters themselves become standard deviation produces interpretive advantages, especially models these are regression models, able to directly show how covariates affect proposed modelsare...
ABSTRACT Objective: To analyze the trend and spatial pattern of intimate partner rape reports against women in Northeast Brazil. Methods: Ecological time-series study analysis with secondary data from Notifiable Diseases Information System between 2013 2022. Gross rates were calculated by type age group victim. Prais-Winsten regression was used to calculate trend, global local Moran indices for analysis. Results: A total 5,542 cases reported. Spousal ranged 0.34/100,000 0.51/100,000 2017,...
RESUMO Objetivo: Analisar a tendência e o padrão espacial das notificações de estupro por parceiro íntimo contra mulheres no Nordeste do Brasil. Métodos: Estudo ecológico série temporal análise com dados secundários Sistema Informação Agravos Notificação (SINAN) entre 2013 2022. Foram calculadas taxas brutas tipo faixa etária da vítima. Para cálculo tendência, utilizou-se regressão Prais-Winsten e, para espacial, adotou-se índice global local Moran. Resultados: notificados 5.542 casos pelo...
Abstract Objective: To analyze the trend in mortality from mental and behavioral disorders due to alcohol use Brazil, 2010-2021. Methods: This was an time series study using Mortality Information System data. Annual percentage change (APC) 95% confidence intervals (95% CI) were calculated Prais-Winsten linear regression. Results: showed a stationary for Brazil as whole (APC = 0.6; 95%CI -4.2;3.0), falling individuals aged 20-29 years South -7.4; -10.0;-4.3) Northeast -3.4; -6.4;-0.4)...
Resumo Objetivo: Analisar a tendência da mortalidade por transtornos mentais e comportamentais devidos ao uso de álcool no Brasil em 2010-2021. Métodos: Estudo séries temporais, com dados do Sistema Informação sobre Mortalidade. A variação percentual anual (VPA) respectivos intervalos confiança 95% (IC95%) foram calculados regressão linear Prais-Winsten. Resultados: Houve estacionária na como um todo (VPA = 0,6; IC95% -4,2;3,0), decrescente indivíduos 20-29 anos nas regiões Sul -7,4;...