Resampling
Mostrando 25-36 de 70 artigos, teses e dissertações.
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25. Modeling synthetic aperture radar image data
In this thesis we study maximum likelihood estimation (MLE) of the roughness parameter of the G 0 A distribution for speckled imagery (Frery et al., 1997). We discover that when a certain criteria is satisfied by the sample moments, the likelihood function is monotone and MLE estimates are infinite, implying an extremely homogeneous region. We implement four
Publicado em: 2008
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26. Determination of sample size to evaluation of yellow melon hybrids / Determinação do tamanho da amostra para avaliação de híbridos de melão amarelo
The sample size in experiments should be determined so that it can accurately estimate the parameters of interest and to save time, labor and resources. The objective of the present work was to determine the sample size in evaluation experiments of melon hybrids in Mossoró. An experiment was carried out in randomized blocks with three replications to evalua
Publicado em: 2008
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27. Analysis the number of clusters present in incomplete datasets using a combination of the fuzzy clustering and resampling bootstrapping / Análise do número de grupos em bases de dados incompletas utilizando agrupamentos nebulosos e reamostragem Bootstrap
A técnica de agrupamento de dados é amplamente utilizada em análise exploratória, a qual é frequentemente necessária em diversas áreas de pesquisa tais como medicina, biologia e estatística, para avaliar potenciais hipóteses a serem utilizadas em estudos subseqüentes. Em bases de dados reais, a ocorrência de dados incompletos, nos quais os valores
Publicado em: 2008
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28. Seismic tomography with P- and S-waves for the study of the upper mantle in Brazil / Tomografia sísmica com ondas P e S para o estudo do manto superior no Brasil
We used travel time seismic tomography to study the upper mantle beneath SE and Central Brazil. This method is based on the inversion of P- and S-wave relative travel time residuals (VanDecar, 1991) obtained from more than 80 stations in an area of 20 x 20 degrees. More than 11000 P and PKP residuals, and more than 8000 S, ScS, SKS, and SKKS residuals were o
Publicado em: 2008
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29. Catch-effort data analysis of the main small-scale fisheries in baÃa de Todos os Santos and baixo sul, state of Bahia, Brazil / AnÃlise quantitativa dos dados de captura e esforÃo de pesca das principais pescarias de pequena-escala praticadas na baÃa de Todos os Santos e baixo sul do estado da Bahia
Catch-effort data from main small-scale fisheries in Baia de Todos os Santos and Baixo Sul, in the State of Bahia, NE- Brazil, were collected by sampling the catches (kg) at random from April- 2005 to September - 2006. The uncertainty of the estimatives of the cpues was assessed by the resampling method. The results indicated that a different number of sampl
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 13/08/2007
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30. Molecular evidence of polyphyletism in the plant genus Carum L. (Apiaceae)
An analysis of internal transcribed spacer (ITS) DNA sequences of the four species of Carum L. (Apiaceae) known in Italy revealed that this genus is polyphyletic. Maximum parsimony with bootstrap resampling, maximum likelihood and Bayesian inference analyses resulted in three distinct clades: Carum carvi L. clustered within tribe Careae Baill. (former Aegopo
Genetics and Molecular Biology. Publicado em: 2007-03
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31. Acquisition and processing of morphometric parameters derivatives from SRTM model / Aquisição e processamento de dados morfométricos derivados do modelo digital de elevação SRTM
SRTM data is distributed at horizontal resolution of 1arcsec (aprox. 30m) for areas within the USA and at 3arcsec (aprox. 90m) resolution for the rest of the world. A 90m resolution can be considered suitable for small or medium-scale analysis, but it is too coarse for more detailed purposes. One alternative is to interpolate the SRTM data at a finer resolut
Publicado em: 2007
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32. Uniform resampling using the sinc function / Reamostragem uniforme utilizando a função SINC
Its common to be needed to reconstruct functions which samples falls on a nonequally spaced grid. This is due to the fact that some of the most used algorithms require samples in a regular (uniform) Cartesian grid. Therefore, it is necessary to make an uniform resampling, i.e., to interpolate the nonuniform samples in a set of equally spaced points. In this
Publicado em: 2006
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33. Monte Carlo methods in nonlinear filtering theory.
This thesis is focused on two basic aspects of the Control Problem: the stochastic modelling of physical systems, and Monte Carlo-based numerical approximation of the nonlinear filtering problem solution. In the first topic this thesis concerns about clarifying some issues in the mathematical modeling of continuous-time systems with Brownian motion. The hypo
Publicado em: 2006
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34. PSP e métodos ágeis na melhoria da qualidade em produção de software: um estudo de caso / Improving the quality of the software production using PSP and agile methods: a case study
Small and medium sized software development organizations face challenges to develop quality software. Costs to adhere to international quality standards are very high, making it almost impossible to adopt and acquire maturity evaluations based on those standards. One plausible and less expensive way to increase product quality is investing in personal softw
Publicado em: 2006
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35. Stochastic models with heteroscedasticity for time series in finance / Modelos estocásticos com heterocedasticidade para séries temporais em finanças
In this work we present a study of autoregressive conditional heteroskedasticity models (ARCH) and autoregressive models with autoregressive conditional heteroskedasticity errors (AR-ARCH). We also present procedures for the estimation and the selection of these models. The estimates of the parameters of those models are obtained using both Maximum Likelihoo
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 20/05/2005
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36. Reamostragem bootstrap em amostragem por conjuntos ordenados e intervalos de confiança não paramétricos para a média.
Ranked set sampling is an efficient and practice way to obtain more precise estimative when the sample size is small because of the high cost or difficulties to measure the interest variable. Using rough and cheap qualitative or quantitative information, the sample units are ranked before their effective measurement. In 1952, McIntyre introduced the ranked s
Publicado em: 2005