Sentence examples for using a simulated data from inspiring English sources

Exact(10)

Validity of the method was assessed using a simulated data set in which the relationship between input parameters and output parameters were completely known.

To learn about which model best may describe the system, we used recently proposed methods in Approximate Bayesian Computation (ABC) to perform model selection and inference using a simulated data set generated from one of our candidate models.

Using a simulated data set of 10 nodes, the computational results show that the improved hybrid PSO algorithm achieves the better performance than GA and PSO without LS in terms of runtime and solution quality.

Using a simulated data set with 5-fold coverage of the genome, cnv-seq took 1651s to produce cnv calls, while readDepth was able to produce calls in 231s; a greater than 7-fold improvement.

The method is illustrated using a simulated data set.

First, a stochastic one-compartmental pharmacokinetic model with first-order input and nonlinear elimination is considered by using a simulated data set consisting of 20 animals.

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Similar(50)

We use a simulated data set based on the model y=β0+β1x1+β2x2+β3x3+e, where x1=1,⋯,50; x2 and x3 are variates from a standard normal distribution; and the random errors are generated from a standard skew-normal distribution with shape parameter α=−8, as discussed in Section 3. We set β1=0.01, β2=0.15, and β3=0.0.

We use a simulated data generated from the 1000 genomes data and illustrate that we can easily detect up to fifth degree cousins which was not possible using the existing methods.

Here we investigate the effect of applying the nonconstant correction coefficients determined in this study on the results of DBL thickness estimations using (1) a simulated data set and (2) literature data.

V. vulnificus CMCP6 chromosome 1 and 2 genome sequences were used to construct a simulated data set of 100 base pair paired-end reads.

We compared data required and results given by these traditional and linear-model-based methods using three data sets: a simulated data set and two pot biodiversity experiments.

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