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Phenomenology of the Higgs and Flavour Physics in the Standard Model and BeyondAlasfar, Lina 14 October 2022 (has links)
In dieser Arbeit werden einige zukünftige Aspekte der Higgs-Messungen ein Jahrzehnt
nach seiner Entdeckung untersucht, wobei der Schwerpunkt auf dem Potenzial
für zukünftige Läufe des Large Hadron Collider (LHC) liegt. Insbesondere sollen
anspruchsvolle Kopplungen des Higgs, wie seine Selbstkopplung und die Wechselwirkung
mit leichten Quarks, untersucht werden. Der erste Teil gibt einen Überblick
über die Higgs-Physik innerhalb der effektiven Feldtheorie des Standardmodells
(SMEFT). Der zweite Teil befasst sich mit der Single-Higgs-Produktion, beginnend
mit einer Zweischleifenberechnung der Gluonenfusionskomponente von Zh,
um deren theoretische Unsicherheiten zu reduzieren. Dann wird das Potenzial für die
Einschränkung der trilinearen Higgs-Selbstkopplung aus Einzel-Higgs-Raten erneut
untersucht, indem ebenso schwach eingeschränkte Vier-Schwer-Quark-Operatoren
einbezogen werden, die bei der nächsthöheren Ordnung in die Einzel-Higgs-Raten
eingehen. Diese Operatoren korrelieren in hohem Maße mit der trilinearen Selbstkopplung,
was sich auf die Anpassungen auswirkt, die für diese Kopplung anhand
von Einzel-Higgs-Daten vorgenommen wurden.
Der dritte Teil konzentriert sich auf die Higgs-Paarproduktion, einen wesentlichen
Prozess zur Messung der Higgs-Selbstkopplung, und setzt eine multivariate Analyse
ein, um ihr Potenzial zur Untersuchung der leichten Yukawa-Kopplungen zu untersuchen;
dadurch wird die Empfindlichkeit der Higgs-Paarproduktion für die leichten
Quark-Yukawa-Wechselwirkungen erforscht.
Schließlich werden im vierten Teil einige Modelle vorgestellt, die darauf abzielen, die
jüngsten Flavour-Anomalien im Lichte einer globalen SMEFT-Bayesian-Analyse zu
erklären, die Flavour- und elektroschwache Präzisionsmessungen kombiniert. / This thesis investigates some future aspects of Higgs measurements a decade after
its discovery, focusing on the potential for future runs of the Large Hadron Collider
(LHC). In particular, it aims to probe challenging couplings of the Higgs like
its self-coupling and interaction with light quarks.
The first part provides an overview of Higgs physics within the Standard Model
Effective Field theory (SMEFT). The second part is about single-Higgs production,
starting with a two-loop calculation of the gluon fusion component of Zh to reduce
its theoretical uncertainties. Then, the potential for constraining the Higgs trilinear
self-coupling from single Higgs rates is revisited; by including equally weaklyconstrained
four-heavy-quark operators entering at the next-to-leading order in single
Higgs rates. These operators highly correlate with the trilinear self-coupling,
thus affecting the fits made on this coupling from single Higgs data.
The third part focuses on the Higgs pair production, an essential process for measuring
Higgs-self coupling, employing multivariate analysis to study its potential
for probing light Yukawa couplings; thereby exploring the sensitivity of Higgs pair
production for the light-quark Yukawa interactions.
Finally, the fourth part showcases some models aiming to explain the recent flavour
anomalies in the light of a global SMEFT Bayesian analysis combining flavour and
electroweak precision measurements.
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Statistické modely trhu obnovitelných energií / Statisitcal models of the renewable energy marketKozma, Petr January 2006 (has links)
An efficient application and development of renewable energy sources is one of the most important contribution to the energetic balance of the human society. Anyhow, statistical model of the renewable energy market, which would fundamentally explain relevant economical rules related to these perspective energetic resources, is not clearly known up to now. Nevertheless, the relevant statistical data concerning application of solar energy (photovoltaic and thermo-solar heating) are available for the last twenty years. Based on the economic models, statistical data concerning sales of photovoltaic models and thermo-solar collectors sales have been analysed in this work. It has been shown that the model of constant elasticity predicts an exponential increase which will slow down when a certain level of annual cumulative sales was reached. The model of constant elasticity was found to be successful to interpret past sales data. In the approach of variable elasticity model the parameter of the elasticity has been modified as a function of variables such as market volume, price and time through the statistical evaluation. It enabled to calculate initial, saturation and competitive market conditions, as well. Whereas the constant elasticity demand model describes exponential growth of sales and installations, which was characteristic for the beginning of the application of these renewable resources of energy, the variable elasticity demand model describes a more realistic situation, where cumulative sales either increase or decrease and prices vary subsequently. Simple growth model of unlimited demand based on the growing sales is not realistic and could not be feasible in the long term. The market elasticity could be understood as a real economical parameter representing percentual market increase or decrease at a given time; in the variable demand elasticity model, the constant elasticity is replaced by a function of a market volume, price and time. In this case, we can estimate model parameters for the different market conditions: growth, saturation and decrease. The function representing the capital adequacy in the generalized market model has also been deliberated. Statistical models have been used to determine cumulative sales and market prices of photovoltaic modules and thermo-solar collectors. Moreover, model parameters have been used for the calculation of the realized photovoltaic and thermo solar projects' capital adequacy on the renewable energy market. By using model parameters, renewable energy market forecast up to 2020 has been estimated. We have used generalized market model to credibly estimate future renewable energy market until 2020; as well as extend model parameterization on other resources of renewable energy (water and wind, geothermal sources, biomass) and set prices of energy produced from these renewable sources. Potential energetic savings have been estimated for households (apartments and private houses), who can be relevant consumers of energy from renewable sources. We have performed statistical findings on randomly selected files, where we have reached a real energy consumption, to prove this. This research allowed us to perform a real estimate of a renewable energy contribution to the total energy balance. We have successfully proved that linearly growing capital adequacy function, with an annual growth between 2.5% and 3.0%, is reflecting the renewable energy market sufficiently and is fully in line with an average growth of the total energy consumption. Renewable energy share on the total energy balance will grow substantially to reach a level of 15% in 2015 on the world market and a level of 8% in the Czech Republic for the same period with a perspective to reach a level of 11% in 2020 respectively. Assuming this level of renewable energy on the total production will lead to a decrease of CO2 emissions by three million of tones in 2015 and by four million of tones in 2020. Final reach of this status quo is fully predicted by our statistical model for renewable energy market.
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[en] CATALOGUE OF LINKED DATA CUBE DESCRIPTIONS / [pt] CATÁLOGO DE DESCRIÇÕES DE CUBOS DE DADOS INTERLIGADOSSOFIA RIBEIRO MANSO DE ABREU E SILVA 06 November 2014 (has links)
[pt] Dados estatísticos são considerados uma das principais fontes de informação e são essenciais em muitos campos, uma vez que podem funcionar como indicadores sociais e econômicos. Um conjunto de dados estatísticos compreende um conjunto de observações feitas em determinados pontos de um espaço lógico e é muitas vezes organizado como o que se chama de cubo de dados. A definição correta dos cubos de dados, especialmente das suas dimensões, ajuda a processar as observações e, mais importante, ajuda a combinar as observações de diferentes cubos de dados. Neste contexto, os princípios de Linked Data podem ser proveitosamente aplicados à definição de cubos de dados, no sentido de que os princípios oferecem uma estratégia para proporcionar a semântica ausentes das suas dimensões, incluindo os seus valores. Esta dissertação descreve inicialmente uma arquitetura de mediação para ajudar a descrever e consumir dados estatísticos, expostos como triplas RDF, mas armazenados em bancos de dados relacionais. Uma das características desta mediação é o Catálogo de Descrições de Cubos de Dados Interligados, que vai ser descrito em detalhes na dissertação. Este catálogo contém uma descrição padronizada em RDF para cada cubo de dados, que está realmente armazenado em cada banco de dados (relacional). Portanto, a principal discussão nesta dissertação é sobre a forma de representar em RDF cubos representando dados estatísticos e armazenados em bancos de dados relacionais, ou seja, como mapear os conceitos de banco de dados para RDF de uma forma em que seja fácil consultar, analisar e reutilizar dados estatísticos no formato RDF. / [en] Statistical Data are considered one of the major sources of information and are essential in many fields as they can work as social and economic indicators. A statistical data set comprises a colletion of observations made at some points of a logical space and is often organized as what is called a data cube. The proper definition of the data cubes, especially of theis dimensions, helps processing the observations and, more importantly, helps combining observations from different data cubes. In this contexto, the Linked Data principles can be profitably applied to the definition of data cubes, in the sense that the principles offer a strategy to provide the missing semantics of the dimensions, including their values.
This dissertion first describes a mediation architecture to help describing and consuming statistical data, exposed as RDFtriples, but stored in relational databases. One of the features of this architesture is the Catalogue of Linked Data Cube Descriptions, which is described in detail in the dissertation. This catalogue has a standardized description in RDF of each data cube actually stored in statistical (relational) databases. Therefore, the main discussion in this dissertation is how to represent the data cubes in RDF, i.e., how to map the database concepts to RDF in a way that makes it easy to query, analyze and reuse statistical data in the RDF format.
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[en] LDC MEDIATOR: A MEDIATOR FOR LINKED DATA CUBES / [pt] MEDIADOR LDC: UM MEDIADOR DE CUBOS DE DADOS INTERLIGADOSLIVIA COUTO RUBACK RODRIGUES 06 July 2015 (has links)
[pt] Um banco de dados estatístico consiste de um conjunto de observações
feitas em pontos de um espaço lógico, e, muitas vezes, são organizados como
cubos de dados. A definição adequada de cubos de dados, em especial de suas
dimensões, ajuda a processar as suas observações e, mais importante, ajuda a
combinar observações de cubos de dados diferentes. Neste contexto, os princípios
de dados interligados podem ser proveitosamente aplicados à definição de cubos
de dados, oferecendo uma estratégia para fornecer a semântica das dimensões,
incluindo seus valores. Este trabalho introduz uma arquitetura de mediação para
auxiliar no consumo de cubos de dados, expostos como triplas RDF e
armazenados em bancos de dados relacionais. Os cubos de dados são descritos em
um catálogo usando vocabulários padronizados e são acessados por métodos
HTTP usando os princípios de REST. Portanto, este trabalho busca tirar proveito
tanto dos princípios de dados interligados quanto dos princípios de REST para
descrever e consumir os cubos de dados interligados de forma simples e eficiente. / [en] A statistical data set comprises a collection of observations made at some
points across a logical space and is often organized as what is called a data cube.
The proper definition of the data cubes, especially of their dimensions, helps to
process the observations and, more importantly, helps to combine observations
from different data cubes. In this context, the Linked Data Principles can be
profitably applied to the definition of data cubes, in the sense that the principles
offer a strategy to provide the missing semantics of the dimensions, including
their values. This work introduces a mediation architecture to help consume
linked data cubes, exposed as RDF triples, but stored in relational databases. The
data cubes are described in a catalogue using standardized vocabularies and are
accessed by HTTP methods using REST principles. Therefore, this work aims at
taking advantage of both Linked Data and REST principles in order to describe
and consume linked data cubes in a simple but efficient way.
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A relação causal entre comprometimento e desempenho: um estudo em Centros de Pesquisa / The causal relation between commitment and performance: a study in research centersSaldivia, Miguel Enrique Tejos 07 June 2006 (has links)
Neste estudo, foram analisadas relações existentes entre liderança, motivação, clima organizacional, trabalho em equipe e o comprometimento organizacional e ocupacional. O estudo exploratório foi realizado em três partes, na primeira procurou-se identificar os fatores de desempenho mais importantes numa relação maior resultantes da pesquisa bibliográfica e na segunda buscou-se quantificar os quatro fatores de desempenho junto aos comprometimentos organizacional e ocupacional. Na primeira parte foi realizada uma pesquisa exploratória e na segunda parte foram entrevistados 52 servidores do CCTM no Instituto de Pesquisas Energéticas e Nucleares IPEN e 252 servidores do IAE no Centro Técnico Aeroespacial CTA. A pesquisa utilizou 18 indicadores de comprometimento organizacional e 18 indicadores de comprometimento ocupacional, todos extraídos do instrumento de Meyer, Allen e Smith. Além destes, foram utilizadas 7 variáveis demográficas e 71 variáveis de desempenho construídas a partir da revisão teórica realizada. Os resultados obtidos com a pesquisa exploratória da primeira parte identificaram os quatro fatores de desempenho já citados e na segunda parte os resultados obtidos nos dois principais locais comprovaram a hipótese que os locais ou grupos de servidores que apresentam maior grau de comprometimento tendem a um maior grau de desempenho. Na terceira parte do estudo utilizou-se a técnica de modelagem de equações estruturais partindo de um modelo teórico definido com as 12 variáveis de desempenho mais importantes em ambos locais da pesquisa e com o apoio dos softwares estatísticos SPSS e LISREL obteve-se um modelo de relacionamento causal mais fortalecido para explicar as variáveis envolvidas. / In this work relation among leadership, motivation, organizational climate, teamwork, and the organizational and occupational commitment, were studied. The exploratory study was accomplished in three parts. In the first it was identified the more important performance factors in a larger relation resultant of the bibliographical research and in the second, it was undertaken a quantification the 4 performance factors together to the organizational and occupational commitments. In the first part, it was accomplished an exploratory research close to some experienced servants, with emphasis in the management area. In the second part it was interviewed 52 employees of the CCTM\'s at the Energy and Nuclear Research Institute IPEN and 252 employees of the IAE at the Aerospace Technical Center CTA. This research used 18 indicators of the organizational commitment and 18 indicators of the occupational commitment, all extracted from the instrument of Meyer, Allen and Smith. Beyond of these, it was used 7 demographic variables and 71 performance variables built from the theoretical revision. The results obtained with the exploratory research of the first part identified the 4 factors aforementioned performance factors. In the second part the obtained results in the two firsts places proved the hypothesis that the servants locations or groups that show a higher degree of commitment tend to a higher degree of performance. In the third part of this study it was used the Structural Equations Modelling SEM, from one theoretic model defined with the 12 more important variables from performance in both researched locals and with assistance of two statistical softwares SPSS and LISREL it was obtained a model of causal relations more strengthened to explain the relationship among the used variables.
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Vizualizace vícerozměrných statistických dat / Visualization of Multivariate Statistical DataMaroušek, Vít January 2011 (has links)
The thesis deals with the possibilities of visualization of multivariate statistical data. Since this is a very broad area the thesis is divided into four sections, two of which are theoretically and two practically oriented. The first section is devoted to theoretical aspects of data visualization. It contains information about the building blocks of graphs, and how the brain processes graphs in various stages of perception. The second section charts the available chart types that can be used to display data. Selected types of graphs for continuous and discontinuous multidimensional data are described in detail. The third section focuses on available software tools for creating graphs. The section describes several programs, with focus on STATISTICA, R and MS Excel. The knowledge gained in previous chapters was sufficient source of information to perform a graphical analysis of multidimensional continuous and discrete data and using advanced analytical methods in the last section. This analysis is performed separately on the data file with continuous variables and on a data file with discontinuous (categorical) variables.
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A Bridge between Short-Range and Seasonal Forecasts: Data-Based First Passage Time Prediction in TemperaturesWulffen, Anja von 18 February 2013 (has links) (PDF)
Current conventional weather forecasts are based on high-dimensional numerical models. They are usually only skillful up to a maximum lead time of around 7 days due to the chaotic nature of the climate dynamics and the related exponential growth of model and data initialisation errors. Even the fully detailed medium-range predictions made for instance at the European Centre for Medium-Range Weather Forecasts do not exceed lead times of 14 days, while even longer-range predictions are limited to time-averaged forecast outputs only.
Many sectors would profit significantly from accurate forecasts on seasonal time scales without needing the wealth of details a full dynamical model can deliver. In this thesis, we aim to study the potential of a much cheaper data-based statistical approach to provide predictions of comparable or even better skill up to seasonal lead times, using as an examplary forecast target the time until the next occurrence of frost.
To this end, we first analyse the properties of the temperature anomaly time series obtained from measured data by subtracting a sinusoidal seasonal cycle, as well as the distribution properties of the first passage times to frost. The possibility of generating additional temperature anomaly data with the same properties by using very simple autoregressive model processes to potentially reduce the statistical fluctuations in our analysis is investigated and ultimately rejected.
In a next step, we study the potential for predictability using only conditional first passage time distributions derived from the temperature anomaly time series and confirm a significant dependence of the distributions on the initial conditions. After this preliminary analysis, we issue data-based out-of-sample forecasts for three different prediction targets: The specific date of first frost, the probability of observing frost before summer for forecasts issued in spring, and the full probability distribution of the first passage times to frost.
We then study the possibility of improving the forecast quality first by enhancing the stationarity of the temperature anomaly time series and then by adding as an additional input variable the state of the North Atlantic Oscillation on the date the predictions are issued.
We are able to obtain significant forecast skill up to seasonal lead times when comparing our results to an unskilled reference forecast.
A first comparison between the data-based forecasts and corresponding predictions gathered from a dynamical weather model, necessarily using a lead time of only up to 15 days, shows that our simple statistical schemes are only outperformed (and then only slightly) if further statistical post-processing is applied to the model output. / Aktuelle Wetterprognosen werden mit Hilfe von hochdimensionalen, numerischen Modellen generiert. Durch die dem Klima zugrunde liegende chaotische Dynamik wachsen Modellfehler und Ungenauigkeiten in der Modellinitialisierung exponentiell an, sodass Vorhersagen mit signifikanter Güte üblicherweise nur für eine Vorlaufzeit von maximal sieben Tagen möglich sind. Selbst die detaillierten Prognosen des Europäischen Zentrums für mittelfristige Wettervorhersagen gehen nicht über eine Vorlaufzeit von 14 Tagen hinaus, während noch längerfristigere Vorhersagen auf zeitgemittelte Größen beschränkt sind.
Viele Branchen würden signifikant von akkuraten Vorhersagen auf saisonalen Zeitskalen pro-fitieren, ohne das ganze Ausmaß an Details zu benötigen, das von einem vollständigen dynamischen Modell geliefert werden kann. In dieser Dissertation beabsichtigen wir, am Beispiel einer Vorhersage der Zeitdauer bis zum nächsten Eintreten von Frost zu untersuchen, inwieweit deutlich kostengünstigere, datenbasierte statistische Verfahren Prognosen von gleicher oder sogar besserer Güte auf bis zu saisonalen Zeitskalen liefern können.
Dazu analysieren wir zunächst die Eigenschaften der Zeitreihe der Temperaturanomalien, die aus den Messdaten durch das Subtrahieren eines sinusförmigen Jahresganges erhalten werden, sowie die Charakteristiken der Wahrscheinlichkeitsverteilungen der Zeitdauer bis zum nächsten Eintreten von Frost. Die Möglichkeit, durch einen einfachen autoregressiven Modellprozess zusätzliche Datenpunkte gleicher statistischer Eigenschaften wie der Temperaturanomalien zu generieren, um die statistischen Fluktuationen in der Analyse zu reduzieren, wird untersucht und letztendlich verworfen.
Im nächsten Schritt analysieren wir das Vorhersagepotential, wenn ausschließlich aus den Temperaturanomalien gewonnene bedingte Wahrscheinlichkeitsverteilungen der Wartezeit bis zum nächsten Frost verwendet werden, und können eine signifikante Abhängigkeit der Verteilungen von den Anfangsbedingungen nachweisen. Nach dieser einleitenden Untersuchung erstellen wir datenbasierte Prognosen für drei verschiedene Vorhersagegrößen: Das konkrete Datum, an dem es das nächste Mal Frost geben wird; die Wahrscheinlichkeit, noch vor dem Sommer Frost zu beobachten, wenn die Vorhersagen im Frühjahr ausgegeben werden; und die volle Wahrscheinlichkeitsverteilung der Zeitdauer bis zum nächsten Eintreten von Frost.
Anschließend untersuchen wir die Möglichkeit, die Vorhersagegüte weiter zu erhöhen - zunächst durch eine Verbesserung der Stationarität der Temperaturanomalien und dann durch die zusätzliche Berücksichtigung der Nordatlantischen Oszillation als einer zweiten, den Anfangszustand charakterisierenden Variablen im Vorhersageschema.
Wir sind in der Lage, im Vergleich mit einem naiven Referenzvorhersageschema eine signifikante Verbesserung der Vorhersagegüte auch auf saisonalen Zeitskalen zu erreichen.
Ein erster Vergleich zwischen den datenbasierten Vorhersagen und entsprechenden, aus den dynamischen Wettermodellen gewonnenen Prognosen, der sich notwendigerweise auf eine Vorlaufzeit der Vorhersagen von lediglich 15 Tagen beschränkt, zeigt, dass letztere unsere simplen statistischen Vorhersageschemata nur schlagen (und zwar knapp), wenn der Modelloutput noch einer statistischen Nachbearbeitung unterzogen wird.
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Oceňování pozemků pro účely vyvlastnění / Valuation of land for expropriationRATAJOVÁ, Marie January 2015 (has links)
This diploma thesis presents a comprehensive overview of the issue of land valuation for expropriation. The work includes a comparison of the frequency of the process of expropriation and the variance amount of compensation for expropriation in the Czech Republic and Austria. They were approached by employees of institutions that deal with the subject of this work. There was a consultation with ŘSD, Ministry for Regional Development, the Department of expropriation office, torts and state supervision in the České Budějovice, and others. The territory of Austria were approached eg. company employees Asfinag. In chapter Results are placed proposals improvement measures that can assist in potential future adjustment problems being solved.
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[en] DCD TOOL: A TOOLKIT FOR THE DISCOVERY AND TRIPLIFICATION OF STATISTICAL DATA CUBES / [pt] DCD TOOL: UM CONJUNTO DE FERRAMENTAS PARA DESCOBERTA E TRIPLIFICAÇÃO DE CUBOS DE DADOS ESTATÍSTICOSSERGIO RICARDO BATULI MAYNOLDI ORTIGA 07 July 2015 (has links)
[pt] A produção de indicadores sociais e sua disponibilização na Web é uma importante iniciativa de democratização e transparência que os governos em todo mundo vêm realizando nas últimas duas décadas. No Brasil diversas instituições governamentais ou ligadas ao governo publicam indicadores relevantes para acompanhamento do desempenho do governo nas áreas de saúde, educação, meio ambiente entre outras. O acesso, a consulta e a correlação destes dados demanda grande esforço, principalmente, em um cenário que envolve diferentes organizações. Assim, o desenvolvimento de ferramentas com foco na integração e disponibilização das informações de tais bases, torna-se um esforço relevante. Outro aspecto que se destaca no caso particular do Brasil é a dificuldade em se identificar dados estatísticos dentre outros tipos de dados armazenados no mesmo banco de dados. Esta dissertação propõe um arcabouço de software que cobre a identificação das bases de dados estatísticas no banco de dados de origem e o enriquecimento de seus metadados utilizando ontologias padronizadas pelo W3C, como base para o processo de triplificação. / [en] The production of social indicators and their availability on the Web is an important initiative for the democratization and transparency that governments have been doing in the last two decades. In Brazil, several government or government-linked institutions publish relevant indicators to help assess the government performance in the areas of health, education, environment and others. The access, query and correlation of these data demand substantial effort, especially in a scenario involving different organizations. Thus, the development of tools, with a focus on the integration and availability of information stored in such bases, becomes a significant effort. Another aspect that requires attention, in the case of Brazil, is the difficulty in identifying statistical databases among others type of data that share the same database. This dissertation proposes a software framework which covers the identification of statistical data in the database of origin and the enrichment of their metadata using W3C standardized ontologies, as a basis for the triplification process.
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A relação causal entre comprometimento e desempenho: um estudo em Centros de Pesquisa / The causal relation between commitment and performance: a study in research centersMiguel Enrique Tejos Saldivia 07 June 2006 (has links)
Neste estudo, foram analisadas relações existentes entre liderança, motivação, clima organizacional, trabalho em equipe e o comprometimento organizacional e ocupacional. O estudo exploratório foi realizado em três partes, na primeira procurou-se identificar os fatores de desempenho mais importantes numa relação maior resultantes da pesquisa bibliográfica e na segunda buscou-se quantificar os quatro fatores de desempenho junto aos comprometimentos organizacional e ocupacional. Na primeira parte foi realizada uma pesquisa exploratória e na segunda parte foram entrevistados 52 servidores do CCTM no Instituto de Pesquisas Energéticas e Nucleares IPEN e 252 servidores do IAE no Centro Técnico Aeroespacial CTA. A pesquisa utilizou 18 indicadores de comprometimento organizacional e 18 indicadores de comprometimento ocupacional, todos extraídos do instrumento de Meyer, Allen e Smith. Além destes, foram utilizadas 7 variáveis demográficas e 71 variáveis de desempenho construídas a partir da revisão teórica realizada. Os resultados obtidos com a pesquisa exploratória da primeira parte identificaram os quatro fatores de desempenho já citados e na segunda parte os resultados obtidos nos dois principais locais comprovaram a hipótese que os locais ou grupos de servidores que apresentam maior grau de comprometimento tendem a um maior grau de desempenho. Na terceira parte do estudo utilizou-se a técnica de modelagem de equações estruturais partindo de um modelo teórico definido com as 12 variáveis de desempenho mais importantes em ambos locais da pesquisa e com o apoio dos softwares estatísticos SPSS e LISREL obteve-se um modelo de relacionamento causal mais fortalecido para explicar as variáveis envolvidas. / In this work relation among leadership, motivation, organizational climate, teamwork, and the organizational and occupational commitment, were studied. The exploratory study was accomplished in three parts. In the first it was identified the more important performance factors in a larger relation resultant of the bibliographical research and in the second, it was undertaken a quantification the 4 performance factors together to the organizational and occupational commitments. In the first part, it was accomplished an exploratory research close to some experienced servants, with emphasis in the management area. In the second part it was interviewed 52 employees of the CCTM\'s at the Energy and Nuclear Research Institute IPEN and 252 employees of the IAE at the Aerospace Technical Center CTA. This research used 18 indicators of the organizational commitment and 18 indicators of the occupational commitment, all extracted from the instrument of Meyer, Allen and Smith. Beyond of these, it was used 7 demographic variables and 71 performance variables built from the theoretical revision. The results obtained with the exploratory research of the first part identified the 4 factors aforementioned performance factors. In the second part the obtained results in the two firsts places proved the hypothesis that the servants locations or groups that show a higher degree of commitment tend to a higher degree of performance. In the third part of this study it was used the Structural Equations Modelling SEM, from one theoretic model defined with the 12 more important variables from performance in both researched locals and with assistance of two statistical softwares SPSS and LISREL it was obtained a model of causal relations more strengthened to explain the relationship among the used variables.
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