Sentence examples for most reliable statistical from inspiring English sources

Based on the most reliable statistical indications to date (scoring margin and efficiency differential*, among other measures), three teams have truly established themselves as members of the league's top tier.

They can now claim, when looking at the ballots, to be doing what the Supreme Court wanted to do but could not.The most reliable statistical estimates suggest that if there had been an accurate count, Mr Gore might have won Florida by anything up to 20,000 votes.

The a and b values of the Gutenberg Richter relationships (seismicity parameters) were also used according to the most reliable statistical investigation (Pailoplee and Choowong 2014).

One caveat is that the change in growth rate with respect to hatching order was most reliable from a statistical perspective for the contrast between middle- and last-hatched, even though differences in fledging probability were most reliable for the contrast between first- and middle-hatched.

One calculates the unadjusted and adjusted frequencies for the most reliable screening criterion, statistical significance using Figure 2 and Table 6 of Calabrese and Baldwin (2001)—to be 11% in both cases.

Nevertheless, repetition is the most reliable way to collect statistical information and the strategy described here is intended to supplement, not replace, such replication experiments.

These two techniques are viewed as the most reliable estimation methods with a statistical basis (34, 35).

Curiously, despite these statistical results, the most reliable motorcycles were not the best loved by their owners.

This dataset arguably contains the most reliable set of orthologs and the statistical tests indicate that there is no difference in tree topology between interacting and non-interacting proteins.

It is shown that among the statistical methods available, the semi-statistical method is the most reliable one.

The most reliable option is a quick count, a statistical procedure that consists in selecting a random sample of polling stations and analysing their final counts to forecast the election results.