Le sujet de la présente étude est la violence scolaire, phénomène complexe et polysémique qui préoccupe légitimement le monde de l’éducation depuis plus de trente ans. À partir des analyses factorielles exploratoires, analyses de variance factorielle et finalement analyses multivariées de covariance, cette recherche vise plus précisément à dégager la relation entre le climat scolaire, le contexte scolaire et les différents rôles adoptés par les élèves du niveau secondaire lors d’une situation de violence scolaire. Les données de la présente étude ont été collectées par Michel Janosz et son équipe pendant l’année 2010, dans quatre établissements éducatifs provenant d’une commission scolaire de la grande région de Montréal. L’échantillon de départ est composé de 1750 élèves qui fréquentent des classes ordinaires et spéciales du premier et deuxième cycle du secondaire âgés entre 10 et 18 ans. Pour fins d’analyse, deux petites écoles ainsi que les classes spéciales ont été retirées. Il demeure donc 1551 élèves dans l’échantillon initial analysé. Les résultats des analyses permettent de constater d’une part, la relation significative existante entre les dimensions du climat scolaire et l’adoption des différents rôles lors d’une situation de violence scolaire, les climats d’appartenance et de sécurité étant les plus importants, et d’autre part d’observer des différences dans les perceptions que les élèves ont de la violence scolaire selon le niveau et selon l’école. / The present study pertains to a complex and polysemic phenomenon that has preoccupied people working in the field of education since at least thirty years, that is, school violence. Using factor analysis, analysis of variance and multivariate analysis of covariance, this research aims at exploring specifically the relationship between school climate, school context and the various roles adopted by students at the high school level when they face a situation in which school violence in present. Data for this study were collected by Michel Janosz and his team in 2010, within four schools, all in the same school board of the Montreal region. The original sample comprises 1750 students who attend both standard special classes, between 10 and 18 years of age. The analyses presented are based on a reduced sample where the special classes and the two small schools have been withdrawn. Therefore, the answers from 1551 student s are used. The results show that first, there is a significant relationship between the various dimensions of school climate and the different roles adopted by students facing a situation in which violence is present, perceptions of belonging and of security being the most important. Second, all things being equal, there are significant difference between schools, and school levels.

Conselho Nacional de Desenvolvimento Científico e Tecnológico / The study aimed to test the efficiency of the method Papadakis on increasing the quality of experiments with snap beans, zucchini, peppers and lettuce, and having efficiency, determine how to estimate the covariate and plot size for use in experiments where apply the method. The definition of the form of estimated covariate that provides greater efficiency and calculation method Papadakis plot size adjusted for use in this method were made from the following blank experiments: two experiments with zucchini, lettuce with eight, five-bean pod and two peppers. In experiments with zucchini, pole beans and peppers, the variable was the weight of fruits and lettuce in experiments with variable mass was fresh shoot. The effectiveness of the use of analysis of covariance (ANCOVA) with the covariate estimated by Papadakis was tested from treatment experiments: one with the bell pepper crop, where the variable was the weight of fruit and one with lettuce crop where the variable was the fresh weight of shoots. The use of ANCOVA with the covariate estimated by Papadakis increases the quality of experiments with vegetable crops. The covariate that provides the highest efficiency ANCOVA is that which is determined considering a portion neighboring each side of the reference portion towards the row of plants. The plot size in the crop row, adjusted for method, is 10 plants (2.0 m) for snap beans, five plants (4.5 m) to zucchini, five plants (1.5 m ) for chili, and four plants (1.2 m) for lettuce. / O trabalho teve por objetivo testar a eficiência do método Papadakis no aumento da qualidade de experimentos com feijão-vagem, abobrinha italiana, pimentão e alface e, havendo eficiência, determinar a forma de estimativa da covariável e o tamanho de parcela para uso em experimentos onde se aplicará o método. A definição da forma de estimativa da covariável que proporciona maior eficiência do método Papadakis e o cálculo do tamanho de parcela ajustado para uso no mesmo foram realizados a partir dos seguintes experimentos em branco: dois experimentos com abobrinha italiana, oito com alface, cinco com feijão-vagem e dois com pimentão. Nos experimentos com abobrinha italiana, feijão-vagem e pimentão, a variável foi o peso de frutos e nos experimentos com alface a variável foi massa fresca da parte aérea. A eficácia do uso da análise de covariância (ANCOVA) com a covariável estimada pelo método Papadakis foi testada a partir de experimentos com tratamentos: um com a cultura do pimentão, onde a variável foi o peso de frutos e, um com a cultura da alface, onde a variável foi a massa fresca da parte aérea. O uso de ANCOVA com a covariável estimada pelo método Papadakis aumenta a qualidade de experimentos com culturas olerícolas. A covariável que proporciona a maior eficiência da ANCOVA é aquela que é estimada considerando uma parcela vizinha de cada lado da parcela de referência no sentido da linha de cultivo. O tamanho de parcela na linha de cultivo, ajustado para uso do método, é de 10 plantas (2,0 m) para feijão-vagem, de cinco plantas (4,5 m) para abobrinha italiana, cinco plantas (1,5 m) para pimentão, e de quatro plantas (1,2 m) para alface.

Orientador: Madson Cortes de Almeida / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-21T03:49:32Z (GMT). No. of bitstreams: 1 Oliveira_WilsonAparecidode_M.pdf: 547322 bytes, checksum: ef149ef455996cf448b79577cdb88728 (MD5) Previous issue date: 2012 / Resumo: Este trabalho apresenta uma metodologia completa para analise de observabilidade de sistemas de energia eletrica. A observabilidade da rede e determinada a partir do traco da matriz de covariancia das medidas estimadas, as variancias dos fluxos estimados permitem a identificacao das ilhas observaveis e a restauracao da observabilidade e realizada a partir das variancias das medidas estimadas. As variancias necessarias sao obtidas da matriz de ganho linearizada regularizada. Alem das medidas disponiveis, na formacao da matriz de ganho regularizada admite-se a existencia de pseudomedidas de angulo em todas as barras da rede. O estimador de estado linearizado regularizado e a metodologia de identificacao de ramos observaveis a partir das variancias dos fluxos estimados foram apresentados em [Almeida, Garcia e Asada, 2011]. As novas contribuicoes deste trabalho sao o mecanismo de verificacao da observabilidade, baseado no traco da matriz de covariancia das medidas estimadas, o mecanismo de restauracao da observabilidade, desenvolvido a partir da analise das variancias das medidas, e a inclusao de medicao fasorial sincronizada na formulacao matematica utilizada / Abstract: The purpose of this work is to present a complete methodology for observability analysis of electric power systems. The observability of the network is determined from the trace of the covariance matrix of the measurement estimate, the variance of the estimated power flow allow the identification of observable islands and the restoration of observability is performed from the variance of the measurement estimate. The variances required are obtained from the regularized linearized gain matrix. Besides the measurements available, in the formation of regularized gain matrix allows the existence of voltage angle pseudomeasurements on all buses of the network. The regularized least squares power system state estimation and the methodology of analysis of the variance of the estimated power flow is based in [Almeida, Garcia e Asada, 2011]. The new contributions of this work are the observability checking mechanism, based on the trace of the covariance matrix of the measurement estimate, the mechanism of restoration of observability, developed from the analysis of variance of the measurement and the inclusion of synchronized phasor measurement in the mathematical formulation utilized / Mestrado / Energia Eletrica / Mestre em Engenharia Elétrica

From the Proceedings of the 1971 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - April 22-23, 1971, Tempe, Arizona / Statistical analyses of existing hydrologic records suffer from the problem that such records are of relatively short duration, and therefore may not necessarily be random samples of the infinite population of events. On the hypothesis that tree-ring series and runoff series respond to a common climatic signal or signals that permit prediction of annual runoff from annual ring-width index, tree-ring data are used to extend available runoff records backwards in time to permit more accurate estimates of the 3 most common statistics used in hydrology: the mean, the variance and the 1st order correlation. It is assumed that both series are generated by the climatic parameters of precipitation, temperature, evapotranspiration, seasonal regime and spatial distribution. Of major concern in the reconstruction of annual runoff series from tree-ring records was the difference in persistence within each of the 2 series. A matrix of the tree-ring data was constructed, lagged up to 3 times and principal components were extracted. The covariation in this matrix was then decomposed by extracting the Eigen-vectors, and multiple regression was then used to weight the respective series and the differences in persistence were determined. This method was applied to watersheds of diverse characteristics and improved estimates of the mean and variance were obtained.