Examples of using Simulated data in English and their translations into Portuguese
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The simulated data were prepared to evaluate the lsca in different scenarios.
And this is what we demonstrate here today through simulated data fictitious.
The simulated data for this climate were used to evaluate and correct systematic errors of projections.
Initially, we study the simple latent factor model andverify its performance to t simulated data.
With simulated data one can do analysis exactly in the same way as with real data. .
We study the performance of the estimator on simulated data and show two applications on real data. .
Simulated data transmission to a serial port can be accomplished using SPM's terminal mode.
The chapter on output analysis discusses constructing experimental designs andcarrying out the analysis of the simulated data.
Simulated data and empirical data from mammal orthologs are used to this end.
To obtain the results, the database consisted of data lightning and simulated data, obtained using the wrf model.
Simulated data were compared with the results of the plant itself, having an average relative error of 4,7.
A limitation of this work is that it consists of an empiric comparison, being necessary a broader study, using,for example, simulated data.
And I just simulated data in R. That's real easy to do, I will show you how to do that in ah, in the Intro To R lecture.
The methods presented in this dissertation are applied in an actual spatially inhomogeneous pattern andthe results corroborate the results from simulated data sets.
Experiments with simulated data are performed to show the application of the approach in the selection of requirements.
Some related works that propose ways to optimize consumption and performance in wireless networks are restricted to the use of simulators oreven models built using simulated data.
The methods are com- pared with simulated data and applied to the study of cases of dengue hemorrhagic fever(fhd) in the state of rio de janeiro 2011.
The treatment for the study was a type of refrigerant(soda or soft drink) and we evaluated the effect of three factors(volume, type and color)on purchase intention of 96 consumers, using simulated data.
The platform wasdeveloped in matlab environment, using simulated data from emtp-atp program via the modeling of a part of 230kv ceee-gt power system.
This study aimed to verify the effect of using different statistical methods of data analysis in the estimation of genetic parameters andselection of forage peanut using simulated data.
According to the simulated data, the maximum and minimum pressures in the column are located, respectively, in the coordinate axis and at the top of the column, being 374.9 Pa and 0 Pa.
Simulation results are stored in form of a master file describing the complete diffraction data for a specific phase,facilitating the subsequent real-time projection and rotation of the simulated data.
This methodology was applied on simulated data and illustrated in a genetic problem which was to verify the influence of certain radiation on the occurrence of cellular damage.
Within the spherical colapse and spherical expansion model, along with an extended excursion set formalism, we developed a theoretical prediction for abundance of voids,showing that our model correctly describes the simulated data, for both dark matter and galaxy catalogs.
The methodology presented was applied on simulated data and illustrated by two practical problems: the time until re-hospitalization of patients with schizophrenia and the time until death of men with aids.
This procedure involves a comparison of the eigenvalues of a principal component analysis of real data with a statistic summarizing the eigenvalues of samples of simulated data having the same number of observations and variables as the real data-set in this case, 4 025 observations on 21 variables.
In the first case of study(simulated data) were observed rmsep values(x 10-3 in arbitrary units) for the analytes a and b in the order of 6.7 to 47.6; 10.6 to 11.4; and 6.0 to 14.0 for the n-pls/rbl, ga-n-pls/rbl and the proposed method, respectively.
It used to exemplify the algorithm developed by zopluoglu(2013)using the statistical package copydetect to generate simulated data for this implementation we approached if some indices developed based on item response theory omega, test binomial generalized, k, k1 and k2, s1 and s2.
A detailed description of the sensor element and circuit forming part of the non-contact voltage detector, a simulation and is also held in proteus software 6.2© of labcenter electronics and a plate was assembled and tested,for comparing the simulated data was performed with the operation of the circuit.
For the analysis, identification andclassification of computationally simulated data, a artificial neural network known as artmap-fuzzy was used, which uses concepts of adaptive resonance theory, whose algorithm was developed using matlab.