Probability Density Functions
Mostrando 1-12 de 42 artigos, teses e dissertações.
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1. Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic
Abstract: For some ranges of its parameters and arguments, the series for Tweedie probability density functions are sometimes exceedingly difficult to sum numerically. Existing numerical implementations utilizing inversion techniques and properties of stable distributions can cope with these problems, but no single one is successful in all cases. In this wor
An. Acad. Bras. Ciênc.. Publicado em: 02/12/2019
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2. Estimativa da resistência característica à tração da madeira na direção paralela às fibras por meio de modelos probabilísticos
RESUMO Para um dimensionamento de estruturas de madeiras dentro das exigências de segurança, a resistência para determinada solicitação mecânica é calculada com base em seu valor característico, correspondente ao percentil de 5% de um determinado modelo de distribuição de probabilidades. A norma brasileira NBR 7190 [1] estabelece, para pequenas amo
Matéria (Rio J.). Publicado em: 25/11/2019
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3. Influence of Vegetation on the Outdoor-to-Indoor Mobile Radio Propagation in 700 MHz Band
Abstract Starting from outdoor transmission, crossing vegetation, the wideband and narrowband characterization of the indoor mobile radio channel in the 700 MHz band is obtained from experiments carried out in the indoor environment of the Engineering building at Fluminense Federal University, and from the processed data, respectively, the power-delay profil
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 12/09/2019
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4. Distribuição do diâmetro de copa e diâmetro quadrático de Araucaria angustifolia e Pinus taeda
Resumo As funções de densidade de probabilidade têm várias aplicações florestais, entre as quais o tratamento de dados biométricos e uso em modelagem. O objetivo deste estudo foi verificar qual função densidade de probabilidade melhor se ajusta ao diâmetro de copa (dcopa) e ao diâmetro quadrático (dq), e também analisar o efeito dessas variávei
Ciênc. Florest.. Publicado em: 30/05/2019
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5. Multidisciplinary Design Optimization of UAV Under Uncertainty
ABSTRACT: Uncertainty-based multidisciplinary design optimization considers probabilistic variables and parameters and provides an approach to account for sources of uncertainty in design optimization. The aim of this study was to apply a decoupling uncertainty-based multidisciplinary design optimization method without any dependence on probability mathemati
J. Aerosp. Technol. Manag.. Publicado em: 2017-06
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6. Probabilistic analysis of stress intensity factor (SIF) and degree of bending (DoB) in axially loaded tubular K-joints of offshore structures
Abstract The stress intensity factor (SIF) and the degree of bending (DoB) are among the crucial parameters in evaluating the fatigue reliability of offshore tubular joints based on the fracture mechanics (FM) approach. The value of SIF is a function of the crack size, nominal stress, and two modifying coefficients known as the crack shape factor (Yc) and ge
Lat. Am. j. solids struct.. Publicado em: 2015-11
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7. Evaluating the influence of defects on the young's modulus of carbon nanotubes using stochastic modeling
The main goal of this research is to investigate the influence of structural defects on the mechanical properties of single-walled carbon nanotubes (CNTs). Two different types of the structural defects called Stone-Wales and vacancy defect are studied. While the former is categorized under the process-induced defect and it appears during the growth process o
Mat. Res.. Publicado em: 30/05/2014
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8. Uncertainty analysis of the conducted interferences in a power converter
A new methodology to analyze electrical systems in the time and frequency domain containing a large number of uncertain parameters is presented. The methodology is based on screening and design of experiments to build surrogate reduced models at a well specified set of frequency values. As an example, the conducted interferences of a Power Converter with unc
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2013-12
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9. Dynamics of rotating non-linear thin-walled composite beams: analysis of modeling uncertainties
In this article a non-linear model for dynamic analysis of rotating thin-walled composite beams is introduced. The theory is deduced in the context of classic variational principles and the finite element method is employed to discretize and furnish a numerical approximation to the motion equations. The model considers shear flexibility as well as non-linear
J. Braz. Soc. Mech. Sci. & Eng.. Publicado em: 2012
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10. Aplicabilidade e validação do Geant4 para fótons e elétrons em radioterapia / GEANT4 applicability and validation to Photons and Electrons in Radiotherapy
Due to the increasing use of ionizing radiation in medical applications, in recent decades, the simulation codes for radiation interacting with matter, based on Monte Carlo Method, have been constantly adapted to applications in medical physics. TheMonte Carlo method is a statisticalmethod of numerical simulation of problems using essentially a sequence of r
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/06/2011
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11. Stochastic texture analysis for measuring sheet formation variability in the industry
Several continuous manufacturing processes use stochastic texture images for quality control and monitoring. Large amounts of pictorial data are acquired, providing important information about both the materials produced and the manufacturing processes involved. However, it is often difficult to measure objectively the similarity among such industrial stocha
Publicado em: 2011
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12. Novas propostas em filtragem de projeções tomográficas sob ruído Poisson
In this dissertation we present techniques for filtering of tomographic projections with Poisson noise. For the filtering of the tomogram projections we use variations of three filtering techniques: Bayesian estimation, Wiener filtering and thresholding in Wavelet domain. We used ten MAP estimators, each estimator with a diferent probability density as prior
Publicado em: 2010