995 resultados para Distribuição a priori e a posteriori


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El presente documento se centra en el desarrollo de un análisis de impacto ambiental en la comunidad de Madrid sobre un proyecto de acondicionamiento, mejora y conexión del camino de mantenimiento del Canal de Isabel II, en la urbanización Montenebro. Podemos definir un análisis de impacto ambiental según la legislación española como: Documento técnico sobre un proyecto o plan realizado por el promotor del mismo que analiza la influencia de dicho proyecto o plan sobre el medio que lo rodea desde diversos puntos de vista centrándose en la determinación de sus influencias negativas y en la toma de medidas necesarias a priori y a posteriori que permitan mitigar lo máximo posible sus efectos en todas las etapas del mismo.

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En este trabajo se presenta un método numérico adaptativo para la resolución de problemas temporales de Combustión en la Mecánica de Fluidos. La dis- cretización espacial de las ecuaciones está basada en el método de los elementos finitos y la discretización temporal se realiza con un esquema semilagrangiano para tratar de forma eficiente los términos convectivos. La caracteística principal de la adaptación local, es que el mallado que se construye es anisótropo, lo que le capacita para adaptarse mejor a capas límitee con un reducido coste computacional. Para ello, se define un tensor métrico en cada paso de tiempo, basado en indicadores de error construidos a priori y a posteriori. Ilustraremos el buen comportamiento del código numérico con la modelización de un problema de combustión en 2D y 3D, donde se analilzará la interacción de llamas de difusión de Hidrógeno y vórtices que pueden ser generados en un flujo turbulento.

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The main aim of this paper is to obtain fixed point theorems for Kannan and Zamfirescu operators in the presence of cyclical contractive condition. A method for approximation of the fixed points is also provided, for which both a priori and a posteriori error estimates are given. Our results generalize, unify and extend several important fixed points theorems in literature. In order to illustrate the efficiency of our generalizations five significant examples are also given.

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Travaux d'études doctorales réalisées conjointement avec les travaux de recherches doctorales de Nicolas Leduc, étudiant au doctorat en génie informatique à l'École Polytechnique de Montréal.

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Purpose The aim of the study is to explore the role of confluent learning in supporting the development of change management knowledge, skills and attitudes and to inform the creation of a conceptual model based upon a priori and a posteriori knowledge gained from literature and the research. Design/methodology/approach The research adopts qualitative approach based on reflective inquiry methodology. There are two primary data sources, interviews with learners and the researchers’ reflective journals on learners’ opinions. Findings The confluent learning approach helped to stimulate affective states (e.g. interest and appreciation) to further reinforce cognitive gains (e.g. retention of knowledge) as a number of higher order thinking skills were further developed. The instructional design premised upon confluent learning enabled learners to further appreciate the complexities of change management. Research implications/ limitations The confluent learning approach offers another explanation to how learning takes place, contingent upon the use of a problem solving framework, instructional design and active learning in developing inter- and trans-disciplinary competencies. Practical implications This study not only explains how effective learning takes place but is also instructive to learning and teaching, and human resource development (HRD) professionals in curriculum design and the potential benefits of confluent learning. Social implications The adoption of a confluent learning approach helps to re-naturalise learning that appeals to learners affect. Originality/value This research is one of the few studies that provide an in-depth exploration of the use of confluent learning and how this approach co-develops cognitive abilities and affective capacity in the creation of a conceptual model.

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Travaux d'études doctorales réalisées conjointement avec les travaux de recherches doctorales de Nicolas Leduc, étudiant au doctorat en génie informatique à l'École Polytechnique de Montréal.

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Programas de melhoramento são atividades que se desenvolvem durante anos e, por isso, devem ser flexíveis ao ajuste às novas situações criadas por mudanças nas tendências de mercado, na situação econômica e aquelas causadas por aumento do volume e qualidade dos dados e, também, por novas técnicas propostas pela comunidade científica. O ajuste a essas últimas deve ser feito, principalmente, por meio da substituição e escolha do modelo mais adequado para a descrição do fenômeno, em um determinado cenário. Os dados de ganho de peso médio diário, de um programa de melhoramento de suínos, envolvendo as raças Duroc, Landrace e Large White, foram analisados por meio da teoria bayesiana, por meio de dois modelos candidatos. Foram simulados três níveis de informação à priori: informativa, pouco informativa e não informativa. O comportamento das curvas das distribuições à posteriori e as respectivas estimativas associadas a cada nível de informação à priori foram analisadas e comparadas. Os resultados indicam que no modelo mais simples, as amostras das três raças são suficientes para produzir estimativas que não são alteradas pela informação à priori. Com relação ao mais parametrizado, as estimativas, para a raça Duroc, são alteradas pelo conhecimento prévio e, nesse caso, deve se buscar a melhor representação possível da distribuição à priori para obtenção de estimativas que são mais adequadas, dado o estado de conhecimento atual do melhorista.

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Pós-graduação em Matematica Aplicada e Computacional - FCT

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Nas ultimas décadas, dada a grande importância estratégica atribuída ao turismo, quer a nível internacional quer a nível nacional, fez com que este se traduzisse nem dos sectores mais importantes da economia mundial. Neste sentido, torna-se prioritário configurar a oferta turística com base no estudo das necessidades e preferências dos consumidores, orientando por forte enfoque de Marketing na gestão dos recurso turísticos. Deste modo, conhecer as preferenciais dos consumidores-turistas desempenha um papel-chave na gestão estratégica da oferta turística. Em consequência, torna-se pertinente abordar a segmentação de mercados, desde as duas principais perspectivas: a segmentação clássica- com base em variáveis sociodemográficas- e a segmentação a posteriori ou optimizada- com base nas preferências dos consumidores. Portanto, o principal objectivo do presente estudo insere-se na analise das preferências dos consumidores para desenvolver um processo de segmentação, recorrendo a uma metodologia multivariada, concretamente, a Analise Conjunta. Os resultados obtidos permitem constatar que os jovens turistas portugueses atribuem maior importância ao Clima e ao Preço no momento de adquirir um produto turístico. Seguidamente os mais relevantes são a Duração da Viagem, a Oferta Cultural, o Tipo de Destino e Ócio e inversão Nocturna. A nível mais especifico,através de uma segmentação a priori, e com base na variável sexo, verifica-se que os indivíduos de sexo masculino apresentam uma menor importância relativamente ao atributo Oferta Cultural contrariamente aos indivíduos de sexo feminino. Por outro lado, no que respeita ao atributo Ócio e Diversão Nocturna verifica-se que este apresenta uma maior importância para os indivíduos do sexo masculino. Por fim, com base na variável faixa etária verifica-se que é o atributo Ócio e Diversão Nocturna que apresenta maior divergência, entre os vários grupos de idades apresentados.

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Mechanistic soil-crop models have become indispensable tools to investigate the effect of management practices on the productivity or environmental impacts of arable crops. Ideally these models may claim to be universally applicable because they simulate the major processes governing the fate of inputs such as fertiliser nitrogen or pesticides. However, because they deal with complex systems and uncertain phenomena, site-specific calibration is usually a prerequisite to ensure their predictions are realistic. This statement implies that some experimental knowledge on the system to be simulated should be available prior to any modelling attempt, and raises a tremendous limitation to practical applications of models. Because the demand for more general simulation results is high, modellers have nevertheless taken the bold step of extrapolating a model tested within a limited sample of real conditions to a much larger domain. While methodological questions are often disregarded in this extrapolation process, they are specifically addressed in this paper, and in particular the issue of models a priori parameterisation. We thus implemented and tested a standard procedure to parameterize the soil components of a modified version of the CERES models. The procedure converts routinely-available soil properties into functional characteristics by means of pedo-transfer functions. The resulting predictions of soil water and nitrogen dynamics, as well as crop biomass, nitrogen content and leaf area index were compared to observations from trials conducted in five locations across Europe (southern Italy, northern Spain, northern France and northern Germany). In three cases, the model’s performance was judged acceptable when compared to experimental errors on the measurements, based on a test of the model’s root mean squared error (RMSE). Significant deviations between observations and model outputs were however noted in all sites, and could be ascribed to various model routines. In decreasing importance, these were: water balance, the turnover of soil organic matter, and crop N uptake. A better match to field observations could therefore be achieved by visually adjusting related parameters, such as field-capacity water content or the size of soil microbial biomass. As a result, model predictions fell within the measurement errors in all sites for most variables, and the model’s RMSE was within the range of published values for similar tests. We conclude that the proposed a priori method yields acceptable simulations with only a 50% probability, a figure which may be greatly increased through a posteriori calibration. Modellers should thus exercise caution when extrapolating their models to a large sample of pedo-climatic conditions for which they have only limited information.

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This dissertation deals with the characterization, distribution and provenience of heavy minerals along the Piranhas-Açu River, from the City of Parelhas (Seridó River) to your mouth at the City of Macau-RN. Many heavy minerals species were recorded in this study: clinoamphibole, epidote (including zoisite), garnet, sillimanite, tourmaline, staurolite, andalusite, zircon, rutile, augite, ilmenite, hematite and magnetite. Major transparent minerals, those forming more than 5% of some assemblages, are hornblende, epidote, tourmaline, staurolite and zircon. Predominant opaque mineral is ilmenite. Six assemblages were identified along the river: (i) Garnet-hornblende-tourmaline with sillimanite, when cutting rocks of the Seridó Formation; (ii) Hornblende-garnet-zircon, when crossing rocks of the Caicó gnaisse-migmatitic Complex; (iii) Hornblende-zircon-epidote-staurolite, when draining rocks of the Jucurutu Formation; (iv) Hornblende-zircon-epidote, when cutting rocks of the Açu Formation; (v) Hornblende-zircon-staurolite, on the lowermost Açu River, when crossing limestones of the Jandaíra Formation and (vi) Zircon-tourmaline-staurolite in the Açu River mouth (Cenozoic rocks) where coastal process dominate. Mineral ratios that reflect differences in grain shape, density, and selective chemical decomposition were used in an attempt to isolate the effects of source and process as controls of mineral variability. Reworking of the sediments was regionally effective in selective sorting; the more equant minerals (e.g. epidote) and heavier minerals (e.g. opaques) had a higher probability of being selected for permanent deposition during reworking. The processes of selective decomposition stand out at the river mouth. A priori knowledge of provenance, associated with the assemblage distribution and effects of process were utilized to the interpretations, that points to the follow provenances: hornblende comes from micashists of the Seridó Formation, orthognaisses and amphibolites of the Caico Complex, paragnaisses and paranphibolites of the Jucurutu Formation and granites intrusions; epidote comes from paragnaisses and calciosilicatics of the Jucurutu Formation, granites intrusions (-Npy3al/ca and -Npy3mz, gravels deposits and Açu Formation; Andalusite and staurolite come from the Seridó Formation; Sillimanite, tourmaline and garnet come from micashists of the Seridó Formation, as well as from quartzites of the Equador Formation; Zircon comes from Precambrian rocks (pink and prismatic zircon) and from sediments of several cycles (round zircon); Opaques come from all rocks cutted for the Piranhas-Açu River; Rutile comes from metamorphic rocks, in general; Augite comes from the Ceará-Mirim, Serra do Cuó and Macau volcanisms. The texture of gravels deposits reveals a sediment transport mechanisms by traction-current processes, together with a diagenetic clay matrix suggests a hot-humid environments for deposition. The presence of unstable heavy minerals assemblages, as well as pebbles of different composition and degrees of rounding and esfericity, indicate more than one source. The occurrence of calcio/alkaline granites suites, in areas closed to the gravel deposits, suggests that these intrusions are the main source of sediments. This could explain for instance, the significant amounts of epidote and presence of unstable heavy minerals (e.g. hornblende). The analyses of heavy minerals also show significante variability between the modern (Piranhas-Açu) and ancestral (Açu Formation) river sediments. In general, these variations reflect relatively higher unstable and lower stable heavy minerals contents of the modern Piranhas-Açu sediments. The absence of significant compositional differences probably reflects uniform weathering conditions

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The multivariate t models are symmetric and with heavier tail than the normal distribution, important feature in financial data. In this theses is presented the Bayesian estimation of a dynamic factor model, where the factors follow a multivariate autoregressive model, using multivariate t distribution. Since the multivariate t distribution is complex, it was represented in this work as a mix between a multivariate normal distribution and a square root of a chi-square distribution. This method allowed to define the posteriors. The inference on the parameters was made taking a sample of the posterior distribution, through the Gibbs Sampler. The convergence was verified through graphical analysis and the convergence tests Geweke (1992) and Raftery & Lewis (1992a). The method was applied in simulated data and in the indexes of the major stock exchanges in the world.