Sentence examples for using realistic parameter estimates from inspiring English sources

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In a recent simulation study using realistic parameter estimates for human data, Messer and Petrov [ 65] demonstrated that linked selection can lead to significant skews in synonymous site frequency spectra, to the extent that demographic expansions were falsely inferred.

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To evaluate the likely clonality of the observed fluorescently labeled cell clusters, we mathematically modeled the process of clone formation using realistic parameters estimated from the imaging data of the e13.5 developing heart (see details in Materials and methods).

Through the use of simulation techniques, it has been possible to assess this impact by using realistic parameter values.

McClelland et al.[ 6] showed that this multiple imputation technique yields more realistic parameter estimates than other traditional approaches to missing data.

Using realistic solar cell parameters for GaInNAsSb, based on the diode model and Kirchhoff's laws, we estimate the efficiency of GaInP/GaAs/GaInNAsSb and GaInP/GaAs/GaInNAsSb/Ge solar cells.

To maximize robustness we use realistic multi-parameter feature models and incorporate optical and sensing effects.

In order to estimate the performance of realistic MJSC-incorporating GaInNAsSb materials, one would need to use realistic data concerning current generation and current matching.

For other parameters, we used the realistic parameters observed by Cluster, as shown in Shoji and Omura (2011).

The strategies for the application of each of these interventions can be, and we of course believe should be, examined with realistic mathematical and computer simulation models analyzed using parameters estimated in hospitals.

Other serious concerns include limitations of the approach with respect to predictions (reviewer 2, please address this in the response and in the manuscript), and lack of a convincing statistical validation (e.g., frequentist coverage of the predictions in a realistic simulation study – where data are generated using parameters estimated from the real data).

Realistic microarray measurement noise was then added, according to the exponential model proposed by (Rocke and Durbin (2001) and using parameters estimated by (Myers et al. (2004) from real human breast cancer array-CGH data.

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