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Result of research was evaluated according to statistical rules.
That compares with 1 in 3,800 people in San Francisco, according to statistical analyses based on ZIP codes.
Those results are then analyzed according to statistical models created by V.N.S., based on several factors, including past election performances.
Cells are then allowed to rearrange according to statistical rules designed to match realistic drug release.
Cells are allowed to change their state according to statistical rules designed to mimic physical phenomena.
In vitro release study was carried out for best formulation according to statistical analysis.
Genes are ranked accorded to statistical significance.
The analysis then averaged these 62 separate but similar models, weighting each according to its statistical importance, to produce a single best estimate of the results.
As this approach is only feasible for small and medium scale experiments, an alternative is to automatically evaluate motifs according to their statistical or informative importance.
The approach involves identification of a separate set of attributes corresponding to each of the sites (being considered in the study area/region) in a recursive manner according to their importance, and utilizing those attributes to construct effective regional regression relationships to estimate statistical raw moments (SMs) of peak flows.
The importance-sampling Monte Carlo algorithm appears to be the universally optimal solution to the problem of sampling the state space of statistical mechanical systems according to the relative importance of configurations for the partition function or thermal averages of interest.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com