Sentence examples for simulation of datasets from inspiring English sources

For maximizing the log likelihood function and determining a numerically approximated information matrix for calculation of the standard errors of the estimates, we use the BFGS algorithm as implemented in R. The approximated values are in line with results from simulation of datasets and subsequent re-estimation of the parameters.

For these reasons, the Wood model was used for data modelling and simulation of datasets for this study, although it is expected that other models of similar complexity would give similar results.

Simulations of datasets with nonuniform distributions are characterized by extensive movement of particles across tree piece boundaries over time.

This procedure is based in Monte-Carlo simulation of 'typical' datasets, which are then analyzed using the same method as the original dataset, thus giving a distribution of estimates.

We explored the possibility of performance increase in the SPSIM program for simulation of large datasets of diffraction images, using CUDA technology.

For this reason experiments with event driven protocols must include the simulation of realistic datasets, and ideally under different applications and scenarios.

The integration of GIS analysis into a digital design package such as Blender offers advanced geometry/material editing and specification, provides tools such as ray casting and BVH tree generation to speed up the simulation of large datasets, and enhanced visualisation of GIS simulation data including animated city fly-throughs and high quality image production.

Bayesian analyses are computationally intensive which favours simulation of smaller datasets.

However, the measure assumes independence of gene sets and the test may result in inflated FWER which is evidenced in simulation study of dataset I (GRP = 11.8%).

A prediction corrected visual predictive check (predcorrVPC) was used to evaluate the performance of candidate and final models of ODTac pharmacokinetics, by simulation of 500 simulated datasets [ 23].

Considering the biases in model selection revealed by previous studies (as described above) and the convenience of simulated data for theoretical investigation [ 41], we conducted a total of 14 simulations of 33,600 datasets.