Sentence examples for more realistic statistical from inspiring English sources

In this case, a more realistic statistical figure for the estimated SNR would be around -1 dB (also the std figure shown in Table 1 is not representative).

More realistic statistical analysis showed that for any basic dynamic case considered, the OLLAF platform always outperform commercially available solution by a factor around to concerning contexts transfer costs.

We suggest that the emergent coherence between spatial and temporal scaling from the MRW approach may open for a more realistic statistical mechanics theory for population processes under terms of memory-influenced space use by individuals.

The weaknesses that have been exposed should stimulate further enquiry into approaches involving more realistic models and explicit statistical procedures.

As one approach to examining the potential effects of demography, we considered the demographic models estimated here from dadi in order to calculate more realistic cutoff values for evaluating statistical significance.

More sophisticated statistical methods and more realistic models of the exposure-risk relationship should assist the research community to 'decipher' the seasonally-fluctuating signal from complex time series data.

Employing a null model that is based upon positive selection free parameters estimated from comparative genomic data rather than a null model based upon pseudogenes (which these are not) is expected to give a more realistic (less overly conservative) picture of statistical significance, even though this has not traditionally been employed in evolutionary studies.

These strong differences can likely be explained by the use of a more realistic (and complex) model under a solid statistical framework.

Improved statistical modelling could lead to more realistic estimates.

Our methods have some clear advantages for mercury exposure estimation compared to the steady-state model, due to the more realistic model and the ability to do hypothesis testing and statistical inference.

Behind the change, they said, are such factors as more realistic assessments of highway traffic as well as advances in the statistical analysis of past bridge failures and their causes.