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The empirical model of Chepil and Selah simulated the data well for M < 0.0062 (i.e., 0.5M1.5), whereas Belly's empirical model simulated the data best for M > 0.0062.
We simulated the data of a neuron following the Morris-Lecar model.
Once the data is simulated, the data can be treated as uncensored and standard distributional fitting method can be used.
We simulated the data under possible values of the mutation rate ranging from 0.01 to 0.2 mutations/site/myrs and assumed an average generation time of one year for Dicrostonyx torquatus [44].
TS simulated the data sets.
SJW simulated the data used for the experiment, and contributed to writing the manuscript.
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It simulates the data collected by the vehicle's sensors when encountering other vehicles and a variety of road conditions.
We used two null models to simulate the data.
We refer to the model used to simulate the data as the true model.
The exact values for the protein degradation rates used to simulate the data are also given.
To simulate the data in the base population, we used the coalescence theory.
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