865 resultados para confidence set


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The main aim of this paper was to use the REZZ software to calculate the tank volume rainwater harvesting system. For this purpose, rain data of Ponta Grossa-PR-Brazil were used considering different statistical treatment (average, 75%, 85%, 95% and 99% of confidence) and different roof areas (50, 80, 120 and 200 m2). The harvesting system was considered only for toilet flush in households with 3, 4 and 5 inhabitants. There were applied the following methods/concepts: Flow equalization (Rippl); Brazilian method as well the English and German practical methods. Further, the mass-balance was simulated for some conditions. All considered methods are described in NBR15527/07, the Brazilian standard for rainwater harvesting. As expected, the results pointed out for huge differences depending on the choice method and the statistical treatment of the rain data. The REZZ appliance showed to be useful thus permitting to set different conditions and to obtain rapid results in order to assist designers to adopt the best cistern volume for each particular case.

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Background Several researchers seek methods for the selection of homogeneous groups of animals in experimental studies, a fact justified because homogeneity is an indispensable prerequisite for casualization of treatments. The lack of robust methods that comply with statistical and biological principles is the reason why researchers use empirical or subjective methods, influencing their results. Objective To develop a multivariate statistical model for the selection of a homogeneous group of animals for experimental research and to elaborate a computational package to use it. Methods The set of echocardiographic data of 115 male Wistar rats with supravalvular aortic stenosis (AoS) was used as an example of model development. Initially, the data were standardized, and became dimensionless. Then, the variance matrix of the set was submitted to principal components analysis (PCA), aiming at reducing the parametric space and at retaining the relevant variability. That technique established a new Cartesian system into which the animals were allocated, and finally the confidence region (ellipsoid) was built for the profile of the animals’ homogeneous responses. The animals located inside the ellipsoid were considered as belonging to the homogeneous batch; those outside the ellipsoid were considered spurious. Results The PCA established eight descriptive axes that represented the accumulated variance of the data set in 88.71%. The allocation of the animals in the new system and the construction of the confidence region revealed six spurious animals as compared to the homogeneous batch of 109 animals. Conclusion The biometric criterion presented proved to be effective, because it considers the animal as a whole, analyzing jointly all parameters measured, in addition to having a small discard rate.

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The aim of this study was to evaluate the influence of fine and medium droplets in the performance of flutriafol and thiophanate methyl + flutriafol for the control of Asian Soybean Rust (Phakopsora pachyrhizi Sydow & Sydow). The experiment was a 2 x 2 factorial design (2 droplet sizes x 2 fungicides) resulting in four treatments with six replications. The experimental area was set up with 24 plots (50 x 21 m). In each plot there was a central assessment area with 10 x 20 m. To the each plot there was a non-treated area placed in opposed direction to the wind. The evaluations of rust control were made by of the calculation of incidence (percentage of plants with rust), severity (level of infection), defoliations and soybean yield. The results were analyzed by the calculation of the confidence interval at 90%. The study was set up in curative control conditions with average infestation of 68.6%, average severity in the lower part of the canopy was of 35.9% and on the upper parte it was 4.57%. The results of severity, defoliation and productivity did not show statistical difference among the treatments. However, it was observed that in general there was tendency of better results with the application of flutriafol alone comparing with thiophanate methyl + flutriafol, since there was a small difference between two commercial products in the flutriafol active ingredient content (62.5 g ha-1 to the flutriafol alone and 60 g ha-1 to the thiophanate methyl + flutriafol). There was no statistical difference between fine and medium droplets. This fact can be explained by the characteristics of systemic action of the flutriafol and by the type of control made (curative). The flutriafol, being a systemic fungicide is less sensitive to the better coverage provided by the smaller droplets and, on the curative control, the amount of product deposited can became more import than coverage, mainly on the superior part of the leaves. These leaves are healthier than the inferior leaves that in general are the first to become completely compromised by the rust, losing importance to the plant. By this reason, medium droplets appear to have offered similar performance even not offering advantages in the leaf coverage. This fact may become important because in the practical side of the use of medium droplets, since this may increase the amount of time to spray, mainly because the fine and very fine droplets have more limitations related to drift and evaporation.