925 resultados para Mínimos quadrados recursivo


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A lei dos planos de saúde, elaborada pela ANS, regulamentou o reajuste nos preços dos planos de saúde individuais no Brasil, este estudo busca analisar os efeitos da mesma sobre o consumo de serviços médicos no país. A análise foi elaborada através de modelos probit e mínimos quadrados ordinários, com o método de diferenças em diferenças e utilizando as PNADs 1998 e 2008. A probabilidade de realização de consultas médicas e/ou internações hospitalares foi estimada por probit e o número de consultas e dias de internações no período de um ano através de MQO. O resultado obtido aponta para inalteração do risco moral na demanda pelos serviços médicos, no entanto, outro resultado interessante foi obtido ao analisar os beneficiários de plano de saúde individuais, sua probabilidade de realizar uma consulta médica e/ou ser internado em hospitais foi maior do que os planos de saúde corporativos.

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O artigo aborda um tema bastante explorado no contexto internacional, mas ainda pouco pesquisado no Brasil. A compreensão dos fatores relevantes na precificação de debêntures é de primordial importância para os investidores e para as empresas interessadas na captação de recursos através deste meio. A inexistência de um mercado secundário líquido de títulos privados de renda fixa restringe a análise empírica às informações, também limitadas, do mercado primário. Foram utilizados no trabalho dados referentes a 67 debêntures indexadas ao CDI-over e 30 indexadas ao IGP-M, todas distribuídas entre abril de 2000 e setembro de 2004. O método dos mínimos quadrados ordinários foi utilizado para testar a influência do rating e de um conjunto de variáveis de controle na formação da taxa de remuneração dos títulos. Foram estimadas relações lineares e não lineares entre as variáveis independentes e o spread expresso em duas formas: nominal e over Treasury. Dentre as evidências encontradas destacam-se as seguintes: i) o rating é variável significante para os dois grupos de debêntures; ii) algumas outras variáveis (prazo e volume da emissão, por exemplo) são relevantes, especialmente para títulos corrigidos pelo IGP-M; iii) a precificação de debêntures é imperfeita e aparentemente sujeita a fatores não econômicos.

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Este estudo tem por objetivo identificar as principais variáveis que afetam o spread de Certificados de Recebíveis Imobiliários (CRI) no mercado nacional no momento da emissão do título. Dentre as principais variáveis estudadas estão o volume de emissão, prazo dos títulos, existência de rating, tipo de emissão, dentre outros. Para o trabalho foi utilizada uma base de dados de acompanhamento do mercado realizado pela ANBIMA e contou com 535 emissões, realizadas entre 2005 e 2015, de CRI indexados ao IGP, IPCA, DI e TR, além de títulos pré-fixados. Foram elaboradas cinco regressões pelo método dos Mínimos Quadrados Ordinários (MQO) stepwise sendo que as amostras foram separadas de acordo com o tipo de indexador (IGP, IPCA, DI e TR) e uma que englobou todas as emissões. Os resultados se mostraram distintos para cada regressão realizada e as variáveis explicativas do spread que se mostraram significativas na maioria das regressões foram o volume de emissão e a variável representativa da percepção internacional do cenário brasileiro. A evolução apresentada por este estudo com relação aos trabalhos disponíveis na literatura é de expandir as análises realizadas com outros títulos mobiliários, como Debentures e Fundos de Investimento em Direito Creditórios, para os CRIs.

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Este artigo busca compreender melhor a relação entre o desempenho financeiro e de mercado das empresas e a remuneração dos executivos, de modo a verificar se os interesses dos executivos estão alinhados com os dos acionistas. Foram realizadas regressões lineares múltiplas pelo método dos mínimos quadrados ordinários e pelo método TOBIT para uma amostra de 128 empresas listadas na bolsa de valores brasileira, com base nos dados do ano de 2014. As variáveis de desempenho financeiro tiveram correlação positiva com a remuneração executiva total e remuneração fixa, mas elas não foram estatisticamente significantes para explicar a remuneração variável e por meio de stock options, resultado inconsistente com a literatura e o objetivo da própria estrutura de remuneração. Além disso, foi observado que o tamanho da empresa tem influência positiva sobre a remuneração executiva, enquanto que a concentração acionária, controle acionário público e endividamento têm efeito negativo sobre a remuneração executiva.

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O mercado de securitização através de Fundos de Investimento em Direitos Creditórios (FIDCs) no Brasil ainda não é tão desenvolvido quando comparado aos mercados internacionais. O desenvolvimento desse mercado facultaria a bancos e empresas acesso a fontes de financiamento além da sua geração de caixa ou da emissão de novas ações. Bancos e empresas devem manter a busca por formas alternativas de financiamento, obtendo, assim, diversificação de suas fontes de recursos. O objetivo desse trabalho é avaliar como as características dos FIDCs afetam a taxa de captação de suas cotas sênior. Para isso foram avaliadas 151 séries de cotas, emitidas entre 2002 e 2014. Na análise foram usadas análises multivariadas através da regressão linear múltipla, usando o método de Mínimos Quadrados Ordinários (MQO), para avaliar o efeito das variáveis sobre o spread das cotas. Os resultados apontaram que o volume de emissão afeta a forma como outras variáveis afetam o spread. Os fundos com tamanho de oferta maior têm seu spread influenciado por características de seus cedentes e por características de sua estruturação, enquanto que fundos menores são apreçados por negociações entre emissor e investidores.

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Com este trabalho pretendeu-se estabelecer o perfil metabolómico volátil de amostras de fluidos biológicos, nomeadamente saliva e urina, de pacientes com cancro da mama e do pulmão e de indivíduos saudáveis (grupo controlo), utilizando a Microextração em Fase Sólida em modo headspace (HS-SPME) seguida de Cromatografia Gasosa acoplada à Espectrometria de Massa (GC-MS). Efetuou-se a comparação entre os perfis voláteis dos grupos estudados com o objetivo de identificar metabolitos que possam ser considerados como potenciais biomarcadores dos tipos de cancro em estudo. De modo a otimizar a metodologia extrativa, HS-SPME, foram avaliados os diferentes parâmetros experimentais com influência no processo extrativo. Os melhores resultados foram obtidos com a fibra CAR/PDMS, usando um volume de 2 mL de saliva acidificada, 10% NaCl (m/v) e 45 minutos de extração a uma temperatura de 37±1°C. Para a urina foi utilizada a mesma fibra, 4 mL de urina acidificada, 20% NaCl (m/v) e 60 minutos de extração a 50±1°C. Nas amostras de saliva e urina, foram identificados 243 e 500 metabolitos voláteis respetivamente, sendo estes pertencentes a diferentes famílias químicas. Posteriormente, utilizou-se a análise discriminante por mínimos quadrados parciais (PLS-DA) que permitiu observar uma boa separação entre os grupos controlo e oncológicos. Nas amostras salivares o grupo de pacientes com cancro da mama foi maioritariamente caracterizado pelo metabolito ácido benzeno carboxílico e o grupo de pacientes com cancro do pulmão pelo ácido hexanóico. Na urina o grupo de pacientes com cancro da mama foi maioritariamente caracterizado pelo metabolito 1-[2-(Isobutiriloxi)-1-metiletil]-2,2-dimetilpropil 2-metilpropanoato e o grupo de pacientes com cancro do pulmão pelo o-cimeno. Além da metodologia PLS-DA foi realizada a validação cruzada de monte carlo (MCCV) tendo-se obtido uma elevada taxa de classificação, sensibilidade e especificidade o que demonstra a robustez dos dados obtidos.

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ALVES, Janaína da Silva. Análise comparativa e teste empírico da validade dos modelos CAPM tradicional e condicional: o caso das ações da Petrobrás. Revista Ciências Administrativas, Fotaleza, v. 13, n. 1, p.147-157, ago. 2007.

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When a company desires to invest in a project, it must obtain resources needed to make the investment. The alternatives are using firm s internal resources or obtain external resources through contracts of debt and issuance of shares. Decisions involving the composition of internal resources, debt and shares in the total resources used to finance the activities of a company related to the choice of its capital structure. Although there are studies in the area of finance on the debt determinants of firms, the issue of capital structure is still controversial. This work sought to identify the predominant factors that determine the capital structure of Brazilian share capital, non-financial firms. This work was used a quantitative approach, with application of the statistical technique of multiple linear regression on data in panel. Estimates were made by the method of ordinary least squares with model of fixed effects. About 116 companies were selected to participate in this research. The period considered is from 2003 to 2007. The variables and hypotheses tested in this study were built based on theories of capital structure and in empirical researches. Results indicate that the variables, such as risk, size, and composition of assets and firms growth influence their indebtedness. The profitability variable was not relevant to the composition of indebtedness of the companies analyzed. However, analyzing only the long-term debt, comes to the conclusion that the relevant variables are the size of firms and, especially, the composition of its assets (tangibility).This sense, the smaller the size of the undertaking or the greater the representation of fixed assets in total assets, the greater its propensity to long-term debt. Furthermore, this research could not identify a predominant theory to explain the capital structure of Brazilian

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The study aims to identify the factors that influence the behavior intention to adopt an academic Information System (SIE), in an environment of mandatory use, applied in the procurement process at the Federal University of Pará (UFPA). For this, it was used a model of innovation adoption and technology acceptance (TAM), focused in attitudes and intentions regarding the behavior intention. The research was conducted a quantitative survey, through survey in a sample of 96 administrative staff of the researched institution. For data analysis, it was used structural equation modeling (SEM), using the partial least squares method (Partial Least Square PLS-PM). As to results, the constructs attitude and subjective norms were confirmed as strong predictors of behavioral intention in a pre-adoption stage. Despite the use of SIE is required, the perceived voluntariness also predicts the behavior intention. Regarding attitude, classical variables of TAM, like as ease of use and perceived usefulness, appear as the main influence of attitude towards the system. It is hoped that the results of this study may provide subsidies for more efficient management of the process of implementing systems and information technologies, particularly in public universities

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This study aimed to examine how students perceives the factors that may influence them to attend a training course offered in the distance virtual learning environment (VLE) of the National School of Public Administration (ENAP). Thus, as theoretical basis it was used the Unified Theory of Acceptance and Use of Technology (UTAUT), the result of an integration of eight previous models which aimed to explain the same phenomenon (acceptance/use of information technology). The research approach was a quantitative and qualitative. To achieve the study objectives were made five semi-structured interviews and an online questionnaire (websurvey) in a valid sample of 101 public employees scattered throughout the country. The technique used to the analysis of quantitative data was the structural equation modeling (SEM), by the method of Partial Least Square Path Modeling (PLS-PM). To qualitative data was the thematic content analysis. Among the results, it was found that, in the context of public service, the degree whose the individual believes that the use of an AVA will help its performance at work (performance expectancy) is a factor to its intended use and also influence its use. Among the results, it was found that the belief which the public employee has in the use of a VLE as a way to improve the performance of his work (performance expectation) was determinant for its intended use that, in turn, influenced their use. It was confirmed that, under the voluntary use of technology, the general opinion of the student s social circle (social influence) has no effect on their intention to use the VLE. The effort expectancy and facilitating conditions were not directly related to the intended use and use, respectively. However, emerged from the students speeches that the opinions of their coworkers, the ease of manipulate the VLE, the flexibility of time and place of the distance learning program and the presence of a tutor are important to their intentions to do a distance learning program. With the results, it is expected that the managers of the distance learning program of ENAP turn their efforts to reduce the impact of the causes of non-use by those unwilling to adopt voluntarily the e-learning, and enhance the potentialities of distance learning for those who are already users

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There are a great number of evidences showing that education is extremely important in many economic and social dimensions. In Brazil, education is a right guaranteed by the Federal Constitution; however, in the Brazilian legislation the right to the three stages of basic education: Kindergarten, Elementary and High School is better promoted and supported than the right to education at College level. According to educational census data (INEP, 2009), 78% of all enrolments in College education are in private schools, while the reverse is found in High School: 84% of all matriculations are in public schools, which shows a contradiction in the admission into the universities. The Brazilian scenario presents that public universities receive mostly students who performed better and were prepared in elementary and high school education in private schools, while private universities attend students who received their basic education in public schools, which are characterized as low quality. These facts have led researchers to raise the possible determinants of student performance on standardized tests, such as the Brazilian Vestibular exam, to guide the development of policies aimed at equal access to College education. Seeking inspiration in North American models of affirmative action policies, some Brazilian public universities have suggested rate policies to enable and facilitate the entry of "minorities" (blacks, pardos1, natives, people of low income and public school students) to free College education. At the Federal University of the state Rio Grande do Norte (UFRN), the first incentives for candidates from public schools emerged in 2006, being improved and widespread during the last 7 years. This study aimed to analyse and discuss the Argument of Inclution (AI) - the affirmative action policy that provides additional scoring for students from public schools. From an extensive database, the Ordinary Least Squares (OLS) technique was used as well as a Quantile Regression considering as control the variables of personal, socioeconomic and educational characteristics of the candidates from the Brazilian Vestibular exam 2010 of the Federal University of the state Rio Grande do Norte (UFRN). The results demonstrate the importance of this incentive system, besides the magnitude of other variables

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This paper presents a new multi-model technique of dentification in ANFIS for nonlinear systems. In this technique, the structure used is of the fuzzy Takagi-Sugeno of which the consequences are local linear models that represent the system of different points of operation and the precursors are membership functions whose adjustments are realized by the learning phase of the neuro-fuzzy ANFIS technique. The models that represent the system at different points of the operation can be found with linearization techniques like, for example, the Least Squares method that is robust against sounds and of simple application. The fuzzy system is responsible for informing the proportion of each model that should be utilized, using the membership functions. The membership functions can be adjusted by ANFIS with the use of neural network algorithms, like the back propagation error type, in such a way that the models found for each area are correctly interpolated and define an action of each model for possible entries into the system. In multi-models, the definition of action of models is known as metrics and, since this paper is based on ANFIS, it shall be denominated in ANFIS metrics. This way, ANFIS metrics is utilized to interpolate various models, composing a system to be identified. Differing from the traditional ANFIS, the created technique necessarily represents the system in various well defined regions by unaltered models whose pondered activation as per the membership functions. The selection of regions for the application of the Least Squares method is realized manually from the graphic analysis of the system behavior or from the physical characteristics of the plant. This selection serves as a base to initiate the linear model defining technique and generating the initial configuration of the membership functions. The experiments are conducted in a teaching tank, with multiple sections, designed and created to show the characteristics of the technique. The results from this tank illustrate the performance reached by the technique in task of identifying, utilizing configurations of ANFIS, comparing the developed technique with various models of simple metrics and comparing with the NNARX technique, also adapted to identification

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Most algorithms for state estimation based on the classical model are just adequate for use in transmission networks. Few algorithms were developed specifically for distribution systems, probably because of the little amount of data available in real time. Most overhead feeders possess just current and voltage measurements at the middle voltage bus-bar at the substation. In this way, classical algorithms are of difficult implementation, even considering off-line acquired data as pseudo-measurements. However, the necessity of automating the operation of distribution networks, mainly in regard to the selectivity of protection systems, as well to implement possibilities of load transfer maneuvers, is changing the network planning policy. In this way, some equipments incorporating telemetry and command modules have been installed in order to improve operational features, and so increasing the amount of measurement data available in real-time in the System Operation Center (SOC). This encourages the development of a state estimator model, involving real-time information and pseudo-measurements of loads, that are built from typical power factors and utilization factors (demand factors) of distribution transformers. This work reports about the development of a new state estimation method, specific for radial distribution systems. The main algorithm of the method is based on the power summation load flow. The estimation is carried out piecewise, section by section of the feeder, going from the substation to the terminal nodes. For each section, a measurement model is built, resulting in a nonlinear overdetermined equations set, whose solution is achieved by the Gaussian normal equation. The estimated variables of a section are used as pseudo-measurements for the next section. In general, a measurement set for a generic section consists of pseudo-measurements of power flows and nodal voltages obtained from the previous section or measurements in real-time, if they exist -, besides pseudomeasurements of injected powers for the power summations, whose functions are the load flow equations, assuming that the network can be represented by its single-phase equivalent. The great advantage of the algorithm is its simplicity and low computational effort. Moreover, the algorithm is very efficient, in regard to the accuracy of the estimated values. Besides the power summation state estimator, this work shows how other algorithms could be adapted to provide state estimation of middle voltage substations and networks, namely Schweppes method and an algorithm based on current proportionality, that is usually adopted for network planning tasks. Both estimators were implemented not only as alternatives for the proposed method, but also looking for getting results that give support for its validation. Once in most cases no power measurement is performed at beginning of the feeder and this is required for implementing the power summation estimations method, a new algorithm for estimating the network variables at the middle voltage bus-bar was also developed

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Conselho Nacional de Desenvolvimento Científico e Tecnológico

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The present work has as objective to present a method of project and implementation of controllers PID, based on industrial instrumentation. An automatic system of auto-tunning of controllers PID will be presented, for systems of first and second order. The software presented in this work is applied in controlled plants by PID controllers implemented in a CLP. Software is applied to make the auto-tunning of the parameters of controller PID of plants that need this tunning. Software presents two stages, the first one is the stage of identification of the system using the least square recursive algorithm and the second is the stage of project of the parameters of controller PID using the root locus algorithm. An important fact of this work is the use of industrial instrumentation for the accomplishment of the experiments. The experiments had been carried through in controlled real plants for controllers PID implemented in the CLP. Thus has not only one resulted obtained with theoreticians experiments made with computational programs, and yes resulted obtained of real systems. The experiments had shown good results gotten with developed software