Sentence examples for predictions after a from inspiring English sources

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Exact(4)

Sales rose 0.5percentto36 36 billion Canadian dollars ($33.9 billion), Statistics Canada said, matching economists' predictions after a revised 0.3percentt gain the month before.

Immediately after the trade report was released, economists forecast that the initial growth estimate for second-quarter G.D.P. would be revised to as high as 2.2 percent, but they tempered those predictions after a later report showed a decline in wholesale inventories in June.

Companies such as Zumiez beat predictions after a tough January, but Zumiez noted that although more store visits and post-holiday clearances helped lift sales, margins were tightening.

As shown in Table 4, the median RMSE of the final model predictions after a specific number of follow-up measurements ranged from 2.27 to 2.67 mm.

Similar(56)

On the assumption of genuine and substantial correlations it can be said that the diversity of tests does not really matter, as long as the aim is mere prediction (after all a vast variety of other non-psychometric indices of job performance exist, including track record, interest inventories, language dialect, self-presentation, and so on).

Until recently, City investors viewed a rate rise this month as a certainty, but have been hurriedly reassessing that prediction after a slew of bad economic news.

Their prediction: After a couple of days of tedium, "these guys, they'll all be like, 'I'm going to South Beach,' " Bryan Russ said.

This was due to the presence of a 'positive recency effect', whereby explicit prediction after a single E1 event is lower than after a single E1 E2 pairing (see also, Hyman, 1953).

However, Figure 1 and Figure 2 show that, in the absence of linkage, fitness average in the MSD scenario becomes well above the neutral prediction after a few generations.

Figures 9 and 10 show the results of the anisotropy predictions after defining a depth-dependent initial aspect ratio in order to focus in on perturbations within the vicinity of the reservoir.

While the former aims at making accurate predictions after deeming an underlying structure in data which requires the presence of a teacher during the learning phase the latter aims at discovering regular-occurring patterns beneath the data without making any a priori assumptions concerning their underlying structure.

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