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Tópicos de geometria diferencial
(Universidade Estadual Paulista (UNESP), 2014)
Generation of self-similar Gaussian time series by means of the DWT and DWPT variance maps
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
Due to the several kinds of services that use the Internet and data networks infra-structures, the present networks are characterized by the diversity of types of traffic that have statistical properties as complex temporal ...
Soil CO(2) emission estimated by different interpolation techniques
(SPRINGER, 2011)
Soil CO(2) emissions are highly variable, both spatially and across time, with significant changes even during a one-day period. The objective of this study was to compare predictions of the diurnal soil CO(2) emissions ...
Soil CO2 emission estimated by different interpolation techniques
(Springer, 2011-08-01)
Soil CO2 emissions are highly variable, both spatially and across time, with significant changes even during a one-day period. The objective of this study was to compare predictions of the diurnal soil CO2 emissions in an ...
Soil CO2 emission estimated by different interpolation techniques
(Springer, 2011-08-01)
Soil CO2 emissions are highly variable, both spatially and across time, with significant changes even during a one-day period. The objective of this study was to compare predictions of the diurnal soil CO2 emissions in an ...
Searching for planar signatures in WMAP
(Iop Publishing Ltd, 2014)
Software multiplication using Gaussian normal bases
(Ieee Computer SocLos AlamitosEUA, 2006)
TBSIM: A computer program for conditional simulation of three-dimensional Gaussian random fields via the turning bands method
(PERGAMON-ELSEVIER SCIENCE LTD, 2006-12)
The simulation of spatially correlated Gaussian random fields is widespread in geologic, hydrologic and environmental applications for characterizing the uncertainty about the unsampled values of regionalized attributes. ...
Inverse Modeling of Moving Average Isotropic Kernels for Non-parametric Three-Dimensional Gaussian Simulation
(Springer, 2016)
Moving average simulation can be summarized as a convolution between a spatial kernel and a white noise random field. The kernel can be calculated once the variogram model is known. An inverse approach to moving average ...
Influence diagnostics in Gaussian spatial linear models
(TAYLOR & FRANCIS LTD, 2012)
Spatial linear models have been applied in numerous fields such as agriculture, geoscience and environmen-tal sciences, among many others. Spatial dependence structure modelling, using a geostatistical approach,is an ...