Uma discussão sobre o ensino da estatística para os estudantes de graduação na França, no Brasil, e nos Estados Unidos

Today statistics are one of the most important bases of the engineer formation. Statistics are used indirectly every day for engineers in a large panel of sectors like construction, mechanical engineering, biological engineering, electrical engineering, computer science etc. The main goal of this report is to compare different ways the engineers of tomorrow are formed in order to show which engineering is the best practice. The comparison will be done on different universities in France, Brazil and the US on Mechanical, Civil, Electrical and Production branches. We will compare the amount of courses required, the degree of knowledge needed and the mains subjects

Análise estatística da vida em fadiga de compósitos estruturais pela distribuição de Weibull

Nowadays technological trend is based on finding materials that could support low weight with satisfactory mechanical properties and for this reason composite material became a very attractive topic in research projects all over the world. Due to its heterogenic properties, this type of material shows scatter in mechanical test results, especially in cyclic loading. Therefore it is important to predict its fatigue strength behaviour by statistic analysis, once fatigue causes approximately 90% of the failure in structural components. The present work aimed to investigate the fatigue behaviour of the Twill/Cycom 890 composite, which is carbon fiber reinforced with polymeric resin as matrix and manufactured via RTM process (Resin Transfer Molding). All samples were tested in different tensile level in triplicate in order to associate these values. The statistical analysis was conducted with Two-Parameter Weibull Distribution and then evaluated the fatigue life results for the composite. Weibull graphics were used to determine the scale and shape parameters. The S-N curve for the Twill/Cycom composite was drawn and indicated the number of cycles to occur the first damages in this material. The probability of failure was associated with material reliability, as shown in graphics for the different tensile levels and fatigue life. In addition, the laminate was evaluated by ultrasonic inspection showing a regular impregnation. The fractographic analysis conducted by SEM showed failure mechanisms for polymeric composites associated to cyclic loadings ... (Complete abstract click electronic access below)

Análise geoestatística da variabilidade espacial do acabamento com tingidor em painéis de madeira colada lateralmente

Classical statistical techniques which necessarily assume that all sampling units are random and independent were always used in the timber industry. Geostatistics considers that certain phenomena are characterized by spatial dependence: values of sampling units closer to each other tend to be more similar than values of sampling units farther away. This study aimed to characterize the spatial variability of the finishing (dyer) in the upper and lower surfaces of four edge glued panels by using geostatistical methods using geoR. Semivariograms were constructed for the analysis of spatial dependence. The spherical mathematical model was the best fit to the semivariograms generated, and was done the interpolation of the data (kriging) in samples where the distribution of dyer presents spatial dependence. In the bottom surfaces of two panels where the spatial dependence was detected geostatistical methods characterized a very large spatial variability due to the heterogeneous application of the finishing

Contagem automatizada de veículos utilizando segmentação estatística

In this work was developed a program capable of performing automatic counting of vehicles on roads. The problem of counting vehicles is using expensive techniques for its realization, techniques which often involve manual counting or degradation of the pavement. The main motivation for this work was the importance that the vehicle counting represents to the Traffic Engineer, being essential to analyze the performance of the roads, allowing to measure the need for installation of traffic lights, roundabouts, access ways, among other means capable of ensuring a continuous flow and safe for vehicles. The main objective of this work was to apply a statistical segmentation technique recently developed, based on a nonparametric linear regression model, to solve the segmentation problem of the program counter. The development program was based on the creation of three major modules, one for the segmentation, another for the tracking and another for the recognition. For the development of the segmentation module, it was applied a statistical technique combined with the segmentation by background difference, in order to optimize the process. The tracking module was developed based on the use of Kalman filters and application of simple concepts of analytical geometry. To develop the recognition module, it was used Fourier descriptors and a neural network multilayer perceptron, trained by backpropagation. Besides the development of the modules, it was also developed a control logic capable of performing the interconnection among the modules, mainly based on a data structure called state. The analysis of the results was applied to the program counter and its component modules, and the individual analysis served as a means to establish the par ameter values of techniques used. The find result was positive, since the statistical segmentation technique proved to be very useful and the developed program was able to count the vehicles belonging to the three goal..

Monitoramento espacial e análise das características climáticas na influência sobre a cultura de soja no estado do Paraná

In the past years, soya has increased itself as the mean agro export culture in Brazil, encouraging the expansion of its agricultural frontier throughout the country. Brazil is the second biggest soya producer around the world, with a 59,8 million ton production in 2008, according to the Instituto Brasileiro de Geografia e Estatística (IBGE), only behind United States. Around the country, the four leading producer states are Mato Grosso, Paraná, Rio Grande do Sul e Goiás. Therefore, geotechnologies may be used to monitor use and soil occupation in various analyzes periods. In this review, the tools are important to illustrate the soya production areas and also the weather behavior around its production evolution in the territory through the years. Its utilization can contribute to the evolution and optimization around real time monitoring of the Agricola cultures, without being necessary to be in the area with a low financial cost. Generally, this information is strongly important for decision makers in both government and private sector, as soon as the achievement information regards the quantification of area, yield and development of agricultural crops are essential to the economic behavior of culture during the season and even beyond. By obtaining data regarding climate crops 2008/09 and 2009/10, held the climatic water balance calculation based on the dynamics of water storage in soil temperature and precipitation data, interpolation of the data through the interpolator (IDW) that generated thematic precipitation maps. Overall, the use of geotechnology to monitor agricultural areas, can strongly contribute to this monitoring, generating raw material for further analysis at low cost

Modelagem espacial de áreas de recarga subterrânea em região de afloramento do sistema aquífero guarani (sag), em Brotas/SP

Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

Distribuição Geográfica dos Escorpiões no município de Presidente Prudente - SP nos anos de 2012 e 2013

No Brasil os acidentes por picada de escorpião são considerados um problema para saúde pública, uma vez que este agravo pode levar ao óbito caso não haja um tratamento adequado. Assim, no município de Presidente Prudente/SP o órgão responsável pelo combate aos escorpiões é o Centro de Controle de Zoonoses (CCZ), que tem por finalidade notificar a aparição de escorpiões no município, promovendo portanto, as devidas informações à população com finalidade de evitar acidentes. Desse modo, com o uso dos Sistemas de Informações Geográficas (SIGs) aplicados à técnicas de estatística espacial, foi possível elaborar mapas de distribuição das notificações de escorpiões referente aos anos de 2012 e 2013, por meio dos métodos da geocodificação de endereços; estimador de intensidade de Kernel; índice de Moran função (LISA); quantidade de notificações por setor censitário e interpolação por vizinho mais próximo. Como resultado desta análise, o trabalho fornece informações ao CCZ sobre a distribuição de tal fenômeno para que fosse possível um controle direcionado os locais mais infestados, economizando tempo e recursos financeiros, visando o bem estar da população

Avaliação psicométrica da escala de atitudes em relação à estatística

RESUMO: O objetivo do estudo foi estimar a validade e confiabilidade da Escala de atitudes em relação à Estatística (EAE) quando aplicada a estudantes de Ciências Farmacêuticas. A amostra de 253 estudantes foi subdividida em duas partes. Sessenta por cento da amostra foi utilizada para explorar a estrutura fatorial e 40% para confirmá-la. Para verificar a reprodutibilidade da escala a mesma foi aplicada em duplicata a 40 estudantes. Aplicou-se o Teste de esfericidade de Bartlett e o índice Kaiser-Meyer-Olkin (KMO). A extração dos fatores foi realizada pela Análise de Componentes Principais. Realizou-se rotação ortogonal Varimax. Calculou-se o Coeficiente alfa de Cronbach (α) e o Coeficiente de Correlação Intraclasse (ρ). Realizou-se análise fatorial confirmatória. Elaborou-se um modelo hierárquico de segunda ordem (MHSO). O teste de esfericidade de Bartlett e o índice KMO foram excelentes (χ 2 =1835,815, p<0,001; KMO=0,935). Verificou-se dois fatores com valores próprios acima de 1 (λ=9,748; λ=2,086) explicando 59,2% da variância total. A questão 2 foi removida. Observou-se excelente consistência interna e reprodutibilidade. O modelo fatorial apresentou índices de qualidade de ajustamento bons (λ=0,59-0,86, χ 2 /gl=1,691, CFI=0,919, GFI=0,804, RMSEA=0,079). A validade discriminante dos fatores foi adequada. A EAE apresentou estrutura bifatorial na amostra com níveis de validade e confiabilidade adequados.

Educação estatística crítica na formação do engenheiro ambiental

Pós-graduação em Educação Matemática - IGCE

Simulação sequencial na interpolação dos dados de entrada ou saída do modelo de lixiviação do software Araquá

Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

A matemática financeira e a estatística como ferramentas para uma gestão financeira consciente

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo e análise estatística no mercado de ações brasileiro

The objective of this paper is to verify and analyze the existence in Brazil of stylized facts observed in financial time series: volatility clustering, probability distributions with fat tails, the presence of long run memory in absolute return time series, absence of linear return autocorrelation, gain/loss asymmetry, aggregative gaussianity, slow absolute return autocorrelation decay, trading volume/volatility correlation and leverage effect. We analyzed intraday prices for 10 stocks traded at the BM&FBovespa, responsible for 52.1% of the Ibovespa portfolio on Sept. 01, 2009. The data analysis confirms the stylized facts, whose behavior is consistent with what is observed in international markets.

Análise matemática e estatística da produtividade de lavouras cafeeiras agroquímica e orgânica na região da alta paulista

Studies with organic systems have shown the feasibility and ecological and social sustainability of these agroecosystems, unlike the systems agrochemicals (conventional) production. Some studies have concluded that for the model agrochemical exists less interaction between the flow of internal energy, basically the crop receives all inputs to production with no increase in "energy quality" within the system, while in the organic model of production has increased interaction between different resources in the system. The current economic and ecological crisis, exposed no sustainability of the production pattern of industrialized agriculture developed in a way, showing the dependence of developed countries on imports of agricultural commodities produced in the third world, among there coffee. Given these facts, developed a survey to identify problems in the Alta Paulista region, west of São Paulo State, in relation to coffee production systems. Actually, the fundamental problem, according to the research, farmers in this region, is to choose a viable production system correctly (environmental, social and economic); agrochemical or organic. The objectives of this study were to analyze the yield of production systems and agro-chemical and organic coffee in the period from 2003 to 2007, in 30 producing properties, located in this region, in order to point the production system to produce the highest yield. According to the methodology of CONAB, data collected were recorded on spreadsheets to be used as variables in statistical analysis models and mathematics. We performed a descriptive analysis of productivity data and were used for statistical analysis tests for parametric and nonparametric analysis of variance. The mathematical analyses of the curves were prepared with Origin for Windows 6.0 software, which uses numerical methods to fit the data supplied to a function of variable parameters. Unlike conventional systems of production, the organic system showed greater viability of the production model. Furthermore, with the quantitative modeling proposal, it is possible to perform the evaluation of these types of investments, providing more security to the farmer at the time of decision.

Análise estatística de parâmetros elétricos em usinas sucroalcoleiras do centro-oeste paulista

The industry of sugar cane has become an important contributor to the generation of electricity in Brazil. Currently there are 434 sugar and ethanol plants operating in the country, 23% of the total export electricity to the National Integrated System (SIN), the state of São Paulo has 182 plants and 30% of them export energy to the SIN. The objective of this study is to compare parameters of electrical efficiency in the sugar and alcohol industry. For the study, three plants localized in the midwest region of Sao Paulo state with great potential for production and exporting bioenergy were chosen. Five energy analyzers LANDYS + GYR SAGA were used for measure the electrical parameters. The variables studied were energy consumption (C) and power factor (PF). For the statistical analysis it was adopteda randomized block design in a factorial 3 5composed of three companies and five sectors of energy consumption,in which: reception(1), milling (2), boiler (3), supporting activities / juice treatment (4), and distillation (5), totaling 15 treatments. Each group comprised 192 repetitions (48 hours 4 measurements per hour). It was concluded that there is no interest for the plans to fix the FP and reach a value 0.92, which is considered the ideal power factor.This,because the plants generate their own energy and are not penalized. Regarding the energy consumed, all sectors had significant differences. When comparingsector to sector, the plant called USB showed no significant differences in sectors 1 and 3, and the plant USC, in sectors 1 and 4. Considering the production units of this sector and selling power this type of evaluation is essential to perform this analysis, since the analyzed sectors are most important in the production of sugar and ethanol, and analyze and monitor these parameters, use and consumption energy can provide a greater supply of energy to be commercialized.