Sentence examples for estimate is smaller from inspiring English sources

The MoD estimate is smaller but the figures are still eye-popping.

When they apply these methods to teenagers or restaurant workers, the estimate is smaller in absolute value, reflecting the fact that not all teenagers or restaurant workers are affected by the minimum wage.

This means that overeducated workers earn more than correctly matched workers in the same types of jobs but less than correctly matched workers with the same years of schooling; (3) The returns to under-education are negative, but the estimate is smaller than the estimate for the returns to required education, i.e. β1 < 0 but | β1| < β2.

In other words, the decision mask is equal to 0 for all T-F bins where the local input SNR estimate is smaller than the threshold value of 0 dB, which is the minimum SNR required for listeners to detect usable glimpses from the target speech signal that will aid intelligibility [27].

After trimming and imputing 12 studies, the pooled estimate is smaller (SMD = −0.76; 95% CI −1.13, −0.39), which suggests that in the absence of publication bias the summary estimate may have been approximately 40% lower than the estimate we obtained.

However, when the number of observed exposure data is n x = 10, in the same comparison, the bias of CGBS estimate is smaller than that of CEM estimate (2.8% vs. 5.1%).

For the labor market regressions in column 2, the point estimate is small and positive but nowhere close to statistically significant.

The Figure 2 model permits a correlation between the NK and IFN activity factors, but the corresponding estimate is small (0.090) and insignificant.

The confidence interval surrounding the genetic estimate was smaller than that obtained using traditional ape survey methods.

In the Republican presidential race, Gov. George W. Bush of Texas will be able to claim that his big tax cut proposal is more prudent than it looked when the surplus estimate was smaller.

The corrected estimate was smaller, indicating that naїve analysis overestimates prevalence.