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Simulation Procedure Step A. Simulate data from the SM at many parameter values θ = { c 1, c 3, τ}.
With computer simulations it is hardly possible to simulate data sets showing a population structure and familial relatedness comparable to that of empirical data sets.
The principle of ABC is to first simulate data under the model of interest and then accept simulations that produced data close to the observation.
For a model to simulate, data collection is a prerequisite.
These parameter settings were chosen to simulate data which closely mimics the previously presented data.
However, new stations lack historical data to write contracts unless insurers simulate data based on nearby station records (Kapphan 2011).
Our goal was to simulate data derived from the replicate spectra obtained from MS TOF experiments.
For the early generations, we only need to simulate data for the CSCs.
We simulate data from monkey A, for whom we have the largest and cleanest data set.
Therefore, we assess our ability to simulate data that mimic real data by a comparison of summary statistics.
In figure 1, we outline the steps that we follow to simulate data and perform association test.
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