Modelos de dispersão para extremos de precipitação. Estudo de caso: o nordeste do Brasil

In this thesis used four different methods in order to diagnose the precipitation extremes on Northeastern Brazil (NEB): Generalized Linear Model s via logistic regression and Poisson, extreme value theory analysis via generalized extre me value (GEV) and generalized Pareto (GPD) distributions and Vectorial Generalized Linea r Models via GEV (MVLG GEV). The logistic regression and Poisson models were used to identify the interactions between the precipitation extremes and other variables based on the odds ratios and relative risks. It was found that the outgoing longwave radiation was the indicator variable for the occurrence of extreme precipitation on eastern, northern and semi arid NEB, and the relative humidity was verified on southern NEB. The GEV and GPD distribut ions (based on the 95th percentile) showed that the location and scale parameters were presented the maximum on the eastern and northern coast NEB, the GEV verified a maximum core on western of Pernambuco influenced by weather systems and topography. The GEV and GPD shape parameter, for most regions the data fitted by Weibull negative an d Beta distributions (ξ < 0) , respectively. The levels and return periods of GEV (GPD) on north ern Maranhão (centerrn of Bahia) may occur at least an extreme precipitation event excee ding over of 160.9 mm /day (192.3 mm / day) on next 30 years. The MVLG GEV model found tha t the zonal and meridional wind components, evaporation and Atlantic and Pacific se a surface temperature boost the precipitation extremes. The GEV parameters show the following results: a) location ( ), the highest value was 88.26 ± 6.42 mm on northern Maran hão; b) scale ( σ ), most regions showed positive values, except on southern of Maranhão; an d c) shape ( ξ ), most of the selected regions were adjusted by the Weibull negative distr ibution ( ξ < 0 ). The southern Maranhão and southern Bahia have greater accuracy. The level period, it was estimated that the centern of Bahia may occur at least an extreme precipitatio n event equal to or exceeding over 571.2 mm/day on next 30 years.

Modelagem estatística e atribuições dos eventos de precipitação extrema na Amazônia brasileira

Intense precipitation events (IPE) have been causing great social and economic losses in the affected regions. In the Amazon, these events can have serious impacts, primarily for populations living on the margins of its countless rivers, because when water levels are elevated, floods and/or inundations are generally observed. Thus, the main objective of this research is to study IPE, through Extreme Value Theory (EVT), to estimate return periods of these events and identify regions of the Brazilian Amazon where IPE have the largest values. The study was performed using daily rainfall data of the hydrometeorological network managed by the National Water Agency (Agência Nacional de Água) and the Meteorological Data Bank for Education and Research (Banco de Dados Meteorológicos para Ensino e Pesquisa) of the National Institute of Meteorology (Instituto Nacional de Meteorologia), covering the period 1983-2012. First, homogeneous rainfall regions were determined through cluster analysis, using the hierarchical agglomerative Ward method. Then synthetic series to represent the homogeneous regions were created. Next EVT, was applied in these series, through Generalized Extreme Value (GEV) and the Generalized Pareto Distribution (GPD). The goodness of fit of these distributions were evaluated by the application of the Kolmogorov-Smirnov test, which compares the cumulated empirical distributions with the theoretical ones. Finally, the composition technique was used to characterize the prevailing atmospheric patterns for the occurrence of IPE. The results suggest that the Brazilian Amazon has six pluvial homogeneous regions. It is expected more severe IPE to occur in the south and in the Amazon coast. More intense rainfall events are expected during the rainy or transitions seasons of each sub-region, with total daily precipitation of 146.1, 143.1 and 109.4 mm (GEV) and 201.6, 209.5 and 152.4 mm (GPD), at least once year, in the south, in the coast and in the northwest of the Brazilian Amazon, respectively. For the south Amazonia, the composition analysis revealed that IPE are associated with the configuration and formation of the South Atlantic Convergence Zone. Along the coast, intense precipitation events are associated with mesoscale systems, such Squall Lines. In Northwest Amazonia IPE are apparently associated with the Intertropical Convergence Zone and/or local convection.

Analyse multidimensionnelle de la persévérance aux études universitaires de premier cycle

L’abandon des études universitaires a attiré l’attention de plusieurs chercheurs. Toutefois, il est difficile de saisir la persévérance dans sa globalité à cause de sa complexité et le nombre important des facteurs associés. La persévérance aux études est liée aux facteurs individuels, aux facteurs contextuels et à la situation financière au cours des études. Ces facteurs ont été étudiés séparément et d’une manière isolée, et aucune étude n’a, à notre connaissance, tenté de mettre ces facteurs simultanément dans un même modèle. Dans cette thèse, nous identifions les principaux déterminants de la persévérance, tout en nous appuyant sur le modèle des attentes et des valeurs (Eccles et al., 1983), le modèle interactionnel de Tinto (1975) et les modèles d’impact financier (Paulsen & St. John, 1997; St. John, 1990; St. John et al., 1994). Cette thèse a pour objectif de valider un modèle de persévérance aux études universitaires de premier cycle. Celle-ci comporte deux études. Une étude rétrospective qui permet d’évaluer, à partir de l’expérience antérieure des étudiants (n = 731), les principaux facteurs qui ont joué un rôle sur le plan de la persévérance ou de l’abandon des études. Une étude prospective suivant sur une période de six mois (deux temps de mesure) des étudiants inscrits dans un programme de baccalauréat à l’Université Laval (n = 3 084). Pour les résultats de l’étude rétrospective, la situation financière, les performances scolaires antérieures et le fait d’avoir effectué des études préuniversitaires au Cégep prédisent la persévérance. Pour le premier temps de mesure de l’étude prospective, la perception de compétence, les attentes de succès et l’intérêt prédisent l’intention de persévérer. Deux facteurs interactionnels prédisent l’intention de persévérer à savoir : les interactions avec les pairs et l’engagement institutionnel et universitaire. En ce qui concerne le deuxième temps de mesure de l’étude prospective, l’intention de persévérer, la préoccupation de la Faculté par rapport à l’enseignement et au développement des étudiants, le développement intellectuel et académique ainsi que le fait d’avoir fait des études préuniversitaires au Cégep prédisent la persévérance. Les implications théoriques, méthodologiques et pratiques sont abordées et des pistes de recherches futures sont proposées.

Anomaly Detection in Noisy Images

Finding rare events in multidimensional data is an important detection problem that has applications in many fields, such as risk estimation in insurance industry, finance, flood prediction, medical diagnosis, quality assurance, security, or safety in transportation. The occurrence of such anomalies is so infrequent that there is usually not enough training data to learn an accurate statistical model of the anomaly class. In some cases, such events may have never been observed, so the only information that is available is a set of normal samples and an assumed pairwise similarity function. Such metric may only be known up to a certain number of unspecified parameters, which would either need to be learned from training data, or fixed by a domain expert. Sometimes, the anomalous condition may be formulated algebraically, such as a measure exceeding a predefined threshold, but nuisance variables may complicate the estimation of such a measure. Change detection methods used in time series analysis are not easily extendable to the multidimensional case, where discontinuities are not localized to a single point. On the other hand, in higher dimensions, data exhibits more complex interdependencies, and there is redundancy that could be exploited to adaptively model the normal data. In the first part of this dissertation, we review the theoretical framework for anomaly detection in images and previous anomaly detection work done in the context of crack detection and detection of anomalous components in railway tracks. In the second part, we propose new anomaly detection algorithms. The fact that curvilinear discontinuities in images are sparse with respect to the frame of shearlets, allows us to pose this anomaly detection problem as basis pursuit optimization. Therefore, we pose the problem of detecting curvilinear anomalies in noisy textured images as a blind source separation problem under sparsity constraints, and propose an iterative shrinkage algorithm to solve it. Taking advantage of the parallel nature of this algorithm, we describe how this method can be accelerated using graphical processing units (GPU). Then, we propose a new method for finding defective components on railway tracks using cameras mounted on a train. We describe how to extract features and use a combination of classifiers to solve this problem. Then, we scale anomaly detection to bigger datasets with complex interdependencies. We show that the anomaly detection problem naturally fits in the multitask learning framework. The first task consists of learning a compact representation of the good samples, while the second task consists of learning the anomaly detector. Using deep convolutional neural networks, we show that it is possible to train a deep model with a limited number of anomalous examples. In sequential detection problems, the presence of time-variant nuisance parameters affect the detection performance. In the last part of this dissertation, we present a method for adaptively estimating the threshold of sequential detectors using Extreme Value Theory on a Bayesian framework. Finally, conclusions on the results obtained are provided, followed by a discussion of possible future work.

Impacto de los eventos extremos en la construcción de portafolios de inversión eficientes

El presente trabajo de investigación busca medir el impacto que tienen los eventos extremos, también llamados eventos de boom o eventos de crash, según la naturaleza y consecuencias de los mismos en la construcción de portafolios de inversión eficientes -- Se trabajará con los precios de acciones listadas en la bolsa de Nueva York, y con estas se construirán portafolios de inversión, siguiendo la metodología diseñada por Harry Markowitz en 1952 -- Se verificará la rentabilidad de los portafolios antes del evento extremo, y después de este, y se estudiarán las consecuencias de este sobre el portafolio -- El evento extremo que se introducirá en el estudio es la crisis económica y financiera del año 2008, que tiene sus orígenes en la crisis hipotecaria en Estados Unidos -- Con las variaciones en los precios de los activos en dicho periodo de tiempo, se espera estresar el modelo y revisar si lo propuesto por Markowitz sigue teniendo validez ante la aparición de dichos sucesos -- A partir de esto, se realizarán simulaciones con modelos en Excel y técnicas de Montecarlo, se plantearán posibles recomendaciones técnicas que debamos tener en cuenta al momento de construir nuestros portafolios, y se redactará un documento con recomendaciones para los inversionistas en general -- Como aporte adicional, se entregará el código en Visual Basic para automatizar la optimización de los portafolios

Der Zusammenhang der Theorie des geplanten Verhaltens mit der selbstberichteten Individualisierungspraxis von Lehrpersonen

Einstellungen stellen als Teil der professionellen Handlungskompetenz von Lehrpersonen eine wichtige handlungsleitende Determinante des Unterrichtsgeschehens dar. Hierzu wird auf Basis der Theorie des geplanten Verhaltens ein Erwartungs-mal-Wert-theoretisches Einstellungsinstrument faktoriell validiert und der Zusammenhang der inklusiven Einstellung, Normvorstellung und Lehrerselbstwirksamkeitsüberzeugung mit der selbstberichteten Individualisierungspraxis von Lehrpersonen betrachtet. Die Ergebnisse einer exploratorischen Faktorenanalyse zeigen in Studie I drei Einstellungsfaktoren, die in Studie II konfirmatorisch bestätigt wurden. Studie III zeigt, dass die selbstberichtete Individualisierungspraxis durch die Normvorstellung und die Intention, sich den Herausforderungen eines inklusiven Unterrichtes anzunehmen, vorhergesagt werden kann. Die Intention mediiert dabei den Zusammenhang der selbstberichteten Individualisierungspraxis mit der Einstellung vollständig und mit der Normvorstellung partiell. Die Lehrerselbstwirksamkeitsüberzeugung sagt demgegenüber die selbstberichtete Individualisierungspraxis weder direkt noch indirekt vorher. (DIPF/Orig.)

SEMIPARAMETRIC METHODS IN THE ESTIMATION OF TAIL PROBABILITIES AND EXTREME QUANTILES

In quantitative risk analysis, the problem of estimating small threshold exceedance probabilities and extreme quantiles arise ubiquitously in bio-surveillance, economics, natural disaster insurance actuary, quality control schemes, etc. A useful way to make an assessment of extreme events is to estimate the probabilities of exceeding large threshold values and extreme quantiles judged by interested authorities. Such information regarding extremes serves as essential guidance to interested authorities in decision making processes. However, in such a context, data are usually skewed in nature, and the rarity of exceedance of large threshold implies large fluctuations in the distribution's upper tail, precisely where the accuracy is desired mostly. Extreme Value Theory (EVT) is a branch of statistics that characterizes the behavior of upper or lower tails of probability distributions. However, existing methods in EVT for the estimation of small threshold exceedance probabilities and extreme quantiles often lead to poor predictive performance in cases where the underlying sample is not large enough or does not contain values in the distribution's tail. In this dissertation, we shall be concerned with an out of sample semiparametric (SP) method for the estimation of small threshold probabilities and extreme quantiles. The proposed SP method for interval estimation calls for the fusion or integration of a given data sample with external computer generated independent samples. Since more data are used, real as well as artificial, under certain conditions the method produces relatively short yet reliable confidence intervals for small exceedance probabilities and extreme quantiles.

STUDENTS’ PERCEPTIONS OF TEACHER INSTRUMENTAL SUPPORT AS A PREDICTOR OF MOTIVATION IN READING AND MATH AND ACHIEVEMENT FROM SECOND THROUGH TWELFTH GRADE

In this study, relations among students’ perceptions of instrumental help/support from their teachers and their reading and math ability beliefs, subjective task values, and academic grades, were explored from elementary through high school. These relations were examined in an overall sample of 1,062 students from the Childhood and Beyond (CAB) study dataset, a cohort-sequential study that followed students from elementary to high school and beyond. Multi-group structural equation model (SEM) analyses were used to explore these relations in adjacent grade pairs (e.g., second grade to third grade) in elementary school and from middle school through high school separately for males and females. In addition, multi-group latent growth curve (LGC) analyses were used to explore the associations among change in the variables of interest from middle school through high school separately for males and females. The results showed that students’ perceptions of instrumental help from teachers significantly positively predicted: (a) students’ math ability beliefs and reading and math task values in elementary school within the same grade for both girls and boys, and (b) students’ reading and math ability beliefs, reading and math task values, and GPA in middle and high school within the same grade for both girls and boys. Overall, students’ perceptions of instrumental help from teachers more consistently predicted ability beliefs and task values in the academic domain of math than in the academic domain of reading. Although there were some statistically significant differences in the models for girls and boys, the direction and strength of the relations in the models were generally similar for both girls and boys. The implications for these findings and suggestions for future research are discussed.

O capital fictício e crise econômica : visões para um novo paradigma

Este artigo tem o propósito inicial de conceituar o que é capital fictício e questionar seu papel na narrativa econômica ortodoxa. Outro objetivo é demonstrar os efeitos prejudiciais deste capital no Brasil. O capital fictício é toda rentabilidade proveniente da valoração derivada e artificial de um capital aplicado, já sem atuação na produção. Sua presença massiva sinaliza uma contradição interna no capitalismo atual, ainda que o pensamento convencional continue a se basear na crença de que crises econômicas são decorrentes de eventos exógenos e inesperados. A crise provém não de eventos aleatórios ou ao acaso, mas da dissociação entre circulação e produção, o que possibilita seu surgimento. Deste modo, a primeira parte deste artigo analisa a teoria do valor e do capital fictício como expressa por Marx e a heterodoxia; a segunda parte busca elucidar suas principais implicações para o caso brasileiro, e questiona a fé irrevogável que a ortodoxia tem na narrativa de crises supostamente surgidas de modelos de equilíbrio. _________________________________________________________________________________ ABSTRACT

Marco regulatorio Solvencia II – Pilar cuantitativo aplicado a las condiciones de riesgo de una compañía aseguradora en Colombia

En el contexto de las compañías aseguradoras, el capital representa la solidez y capacidad de una compañía para responder ante las obligaciones adquiridas con los clientes en escenarios de pérdidas inesperadas -- Con la experiencia de las pasadas crisis se ha venido aumentando la exigencia de capital y para estimar este capital, el marco regulatorio europeo propone una metodología basada en riesgos, la cual se conoce como Solvencia II -- Sin embargo, en Colombia la metodología exigida en la actualidad no contempla la totalidad de riesgos a los que se encuentra expuesta una compañía en este sector -- El propósito de este trabajo es determinar las bases para el cálculo del capital, basado en riesgo de una compañía aseguradora en Colombia, adaptando las exigencias propuestas por Solvencia II a las condiciones del mercado colombiano -- Lo anterior, se realiza cuantificando las principales variables de riesgo relacionadas con el entorno financiero y de negocio de las compañías en Colombia

Essays on Emissions Trading Markets

This dissertation is a collection of three economics essays on different aspects of carbon emission trading markets. The first essay analyzes the dynamic optimal emission control strategies of two nations. With a potential to become the largest buyer under the Kyoto Protocol, the US is assumed to be a monopsony, whereas with a large number of tradable permits on hand Russia is assumed to be a monopoly. Optimal costs of emission control programs are estimated for both the countries under four different market scenarios: non-cooperative no trade, US monopsony, Russia monopoly, and cooperative trading. The US monopsony scenario is found to be the most Pareto cost efficient. The Pareto efficient outcome, however, would require the US to make side payments to Russia, which will even out the differences in the cost savings from cooperative behavior. The second essay analyzes the price dynamics of the Chicago Climate Exchange (CCX), a voluntary emissions trading market. By examining the volatility in market returns using AR-GARCH and Markov switching models, the study associates the market price fluctuations with two different political regimes of the US government. Further, the study also identifies a high volatility in the returns few months before the market collapse. Three possible regulatory and market-based forces are identified as probable causes of market volatility and its ultimate collapse. Organizers of other voluntary markets in the US and worldwide may closely watch for these regime switching forces in order to overcome emission market crashes. The third essay compares excess skewness and kurtosis in carbon prices between CCX and EU ETS (European Union Emission Trading Scheme) Phase I and II markets, by examining the tail behavior when market expectations exceed the threshold level. Dynamic extreme value theory is used to find out the mean price exceedence of the threshold levels and estimate the risk loss. The calculated risk measures suggest that CCX and EU ETS Phase I are extremely immature markets for a risk investor, whereas EU ETS Phase II is a more stable market that could develop as a mature carbon market in future years.

The effects of Australian tall poppy attitudes on American value based leadership theory

A survey study of twenty-two Australian CEOs and their subordinates assessed relationships between Australian leader motives, Australian value based leader behaviour, subordinate tall poppy attitudes and subordinate commitment, effectiveness, motivation and satisfaction (CEMS). On the whole, the results showed general support for value based leadership processes. Subsequent regression analyses of the second main component of Value Based Leadership Theory, value based leader behaviour, revealed that the collectivistic, inspirational, integrity and visionary behaviour sub-scales of the construct were positively related with subordinate CEMS. Although the hypothesis that subordinate tall poppy attitudes would moderate value based leadership processes was not clearly supported, subsequent regression analyses found that subordinate tall poppy attitudes were negatively related with perceptions of value based leader behaviour and CEMS. These findings suggest complex relationships between the three constructs, and the proposed model for the Australian context is accordingly amended. Overall, the research supports the need to consider cultural-specific attitudes in management development.

On boundary value problems for Willmore surfaces and Hartree-Fock theory of pseudo-relativistic atoms

Magdeburg, Univ., Fak. für Mathematik, kumulative Habil.-Schr., 2011