Dynamic Regression Models
Mostrando 13-24 de 26 artigos, teses e dissertações.
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13. Comunidade,dinâmica populacional e variabilidade espacial de nematóide em áreas de cultivo da cana-de-açúcar sob diferentes condições edafoclimáticas no Nordeste
Community trophic structure and spatial distribution of nematodes, in particular Meloidogyne spp. and Pratylenchus zeae, in soil at field renovation and harvest of sugarcane (Saccharum spp.) are fundamentals for understanding shifts in population dynamic and consequent effects on crop production. The objectives of the present study were 1) to characterize pl
Publicado em: 2008
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14. A certificação ISO 9000 e o desempenho financeiro das companhias abertas brasileiras
The evidences that the quality management practices contribute positively to the financial performance of a firm do not produce a consensus. It is important to take off the impression ISO 9000 is so popular that it could not deserve more intense and effective academic production; there are many effects promoted by the introduction of this standard at the org
Publicado em: 2008
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15. Uso de técnicas de análise multivariada para a predição de desmatamento na Amazônia : o modelo AMAZON-PD
Owner of the world largest rainforest, Brazil put forth its best effort in many different segments of the society looking forward to mitigating Amazon deforestation effects. This thesis proposes a prediction study of Amazon deforestation throughout multivariate analysis techniques, more specifically a logistic regression model. Given regional characteristics
Publicado em: 2007
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16. Econometric analysis of the factor total productivity in Amazonia Legal, 1990-2004 / Análise econométrica da produtividade total dos fatores na Amazônia Legal, 1990-2004
The economic performance of Amazonia Legal and its states is evaluated based on total-factor productivity (TFP) measures obtained by the use of the exogenous growth model formulated by Solow (1956) and by the expanded human capital model proposed by Mankiw et al. (1992). The economic variables taken as proxy of the physical (synthetic quantitative index), hu
Publicado em: 2007
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17. Evaluation of in-situ bearing capacity of soils in road buildngs through the Dynamic Cone Penetrometer : experimental study / Avaliação da capacidade de suporte de solos "in situ" em obras viarias atraves do Cone de Penetração Dinamica : estudo experimental
This research establishes a correlation among the strength or supporting values of the tests: CBR (California Bearing Ratio) versus DCP (Dynamic Cone Penetrometer), accomplished with the soil originating from no-paved roads inside of the Campus of UNICAMP. The Cone of Dynamic Penetration (DCP) it is characterized as an equipment simple, portable and of low c
Publicado em: 2005
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18. Redes bayesianas para inferÃncia de redes regulatÃrias de genes
With the development of functional genomics, data on a great number of species are being obtained in huge volumes. Technologies to measure the differences of the gene expression, through mRNA concentration (microarray), have become extremely popular, and their costs are decreasing. The reconstruction of genetic networks from gene expression data to study the
Publicado em: 2005
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19. Comite de maquinas : uma abordagem unificada empregando maquinas de vetores-suporte / Committee machines: a unified approach using support vector machines
Algorithms based on kernel methods are prominent techniques among the available approaches for machine learning. They were initially applied to implement support vector machines (SVMs). The SVM approach represents a nonparametric learning procedure devoted to high performance classification and regression tasks. However, structural and parametric aspects of
Publicado em: 2004
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20. MODELOS LINEARES E NÃO LINEARES NA MODELAGEM DO PREÇO SPOT DE ENERGIA ELÉTRICA DO BRASIL / USING LINEAR AND NON-LINEAR APPROACHES TO MODEL THE BRAZILIAN ELECTRICITY SPOT PRICE SERIES
In this dissertation, modeling strategies are presented involving linear and non-linear time series models to model the spot price of Brazil`s electrical energy market. It has been used, among the linear models, the modeling approach of Box, Jenkins and Reinsel (1994) i.e., ARIMA(p,d,q) models, and dynamic regression. Among the non-linear ones, the chosen mo
Publicado em: 2003
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21. Aplicação de tecnicas estatisticas multivariadas e de redes neurais na modelagem de um sistema de tratamento de efluentes industriais
One of the most difficult problem in the modeling and control of wastewater treatment processes is the construction of reliable process models. For these processes, the development of detailed models based on fundamental principIes and intense kinetic studies is very difficult, expensive and time consuming. The aerated lagoon is a common example of such an e
Publicado em: 2003
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22. REDES NEURAIS E REGRESSÃO DINÂMICA: UM MODELO HÍBRIDO PARA PREVISÃO DE CURTO PRAZO DA DEMANDA DE GASOLINA AUTOMOTIVA NO BRASIL / NEURAL NETWORK AND DYNAMIC REGRESSION: A HYBRID MODEL TO FORECAST THE SHORT TERM DEMAND OF PETROL IN BRAZIL
In this dissertation a short term model to forecast automotive gasoline demand in Brazil is proposed. From the methodology point of view, data is analyzed and a model using a bottom-up strategy is developed. In other words, a simple model is improved step by step until a proper model that sits well the reality is found. Departuring from a univariate model it
Publicado em: 2000
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23. Análise da erosão do solo usando a EUPS, através de técnicas de sensoriamento remoto e geoprocessamento / Soil erosion analysis, using the USLE, using both remote sensing and geoprocessing techniques
The Universal Soil Loss Equation (USLE) has been used within geographical information systems targeting the development of means of producing basic planning information. Remote sensing data have been used to map the most dynamic side of erosion: land use and management. Overestimations of erosion and Natural Erosion Potential have been regularly obtained, th
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/11/1996
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24. Risk-adjusted outcome models for public mental health outpatient programs.
OBJECTIVE: To develop and test risk-adjustment outcome models in publicly funded mental health outpatient settings. We developed prospective risk models that used demographic and diagnostic variables; client-reported functioning, satisfaction, and quality of life; and case manager clinical ratings to predict subsequent client functional status, health-relate