Sentence examples for statistic weight from inspiring English sources

In this research, we explore two different coarse graining methods that can be applied to polydisperse powders, namely the same statistic weight method (SSW) and the same size parcel method (SSP), and assess their accuracy by comparison with the finest simulation results obtained with a discrete element method (DEM).

Moreover, this trial [35] reported a higher standard deviation with regard to duration of antibiotic treatment as well as antibiotic-free days (possibly due to reported higher non-compliance rate), compared to that in the negative trial [38], which weaken its statistic weight in the meta-analysis.

He was keen to get his hands on one particular statistic: birth weight.

Results were prioritized based on P values obtained with Fisher's exact test statistic and weight method (23).

One potential enhancement of the EMVC method would be use of results from a method such as the gap statistic to weight the EMVC optimization results for each clustering in the specified range.

Note that while the proposed statistic can be applied with and without statistical weighting, our simulations show that its power increases when weighting (WSS and VT) are applied.

Even during Mr Messi's two "down" years, Barcelona and Argentina benefited more from his comparatively modest 86 goals than Real Madrid and Portugal did from Mr Ronaldo's prolific 105.The statistic that weights goals according to their context is called Expected Points Added (EPA), an application of the Win Probability Added framework originally developed for baseball.

Specifically, the weights incorporating similarity function sw for the similarity matrix K w is as follows: (3) s w g n, g m = exp − ∑ l = 1 L w l g nl − g ml 2 / ∑ l = 1 L w l For the KBAT test statistic, the weights were incorporated differently (for details, see the description below) as the test does not use the multi-site genotype similarity.

The weighted kappa statistic, using linear weights, was computed.

Concordance between mothers and children's perceptions was analyzed using a weighted kappa statistic with squared weights [ 24].

These classifications were compared with the investigator's using a weighted kappa statistic with quadratic weighting [ 20].