Sentence examples for model assumed by from inspiring English sources

A national poll like Gallup, on the other hand, seems to be using something closer to the model assumed by Republican pollsters (e.g., similar to 2008 but with lower voter enthusiasm, and no Hispanic uptick), which is why it's not surprising that Gallup has been predicting a more Republican electorate and (pending their post-hurricane return to polling) a likely Romney popular vote win.

We use the demand model assumed by Irion et al.

We attribute this behavior to the fact that the inherent parametric model assumed by the superresolution techniques may not adequately adjust to the ISAR data.

This resultant slip value and slip distribution are consistent with a source model assumed by Tobita et al. (2011) using the InSAR data only.

In these cases, the trilinear signal model assumed by CPD is sufficient; therefore, we do not expect an improvement using BTD.

A systematic difference between our aftershock distribution and the fault model assumed by Yokota et al. (2009) is due to an inadequate assumption of the fault location based on preliminary source inversion of geodetic and strong motion data.

We comment that the simulation model in this case is different from the underlying models assumed by our HBM and the MLM of GCTA.

The model of RNA-Seq read generation that we use is similar to the models assumed by many other methods for transcript quantification (Bohnert et al., 2009; Jiang and Wong, 2009; Katz et al., 2010; Li et al., 2010a; Nicolae et al., 2010; Richard et al., 2010; Trapnell et al., 2010).

In our opinion, contrasting signals from cyt b and S7 markers with respect to expansion rates, times and the significance of MD, Tajima's D and Fu's Fs, are better explained by the different properties of each marker and population histories that were not identical to the simple models assumed by demographic methods.

The model assumed that human activities by themselves would boost carbon dioxide levels 75% from today to 2100.

Here, we provide an overview of a general method to estimate study power for randomized trials based on a simulation technique that arises naturally from the underlying data model typically assumed by power and sample size equations.