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Evaluation of both models on simulated data sets revealed that they performed equally in estimating differentiation when considering a migration-drift scenario while model 2 was surprisingly more efficient under the pure-drift divergence scenario.

We first demonstrate the main benefit of the proposed models on simulated datasets.

In the Boston study, Lokken et al also ran case-crossover models on simulated datasets reflecting the distribution of delays [ 10].

We benchmarked both the BDI and BDIE models on simulated data and found both models can accurately infer ancestral gene family sizes (Supplementary File 1).

The method is demonstrated (for all three models) on simulated binary copy number status data for varying number of genes and tumors.

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Figure 5 Average AUC of the detection models on one simulated intrusion in the EHR dataset.

Figure 6 Average AUC of the detection models on one simulated intrusion in the Wiki dataset.

The objectives of the present study are (1) to apply and compare the advantages and disadvantages of these three models on simulating groundwater levels and (2) to provide some useful insights and for the reasonable exploitation and sustainable utilization of groundwater.

We evaluated how landscape configuration structures home ranges of animals by performing individual-based, spatially explicit computer simulations using each model on simulated landscapes that differed only in the spatial continuity of resources among patches (from over-dispersed to clumped).

To seek for such a pattern, we applied a segmented regression model on simulated data Z jk (1 ≤ k ≤ 10), with one breakpoint occurring at generation G b (2 ≤ b ≤ 7).

We explore the performance of the proposed model on simulated data, with both block- and event-related design, and on real fMRI data.

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