Sentence examples for much smaller variance from inspiring English sources
Turning to ASM-VFM scalar residuals reveals much smaller variance values for short periods of time.
In practice, this manual procedure permitted the identification of a group of models having much smaller variance than the others and a simplification was to give this group unit weight and most of the others zero weight.
Active taps are drawn from a zero-mean Gaussian distribution with relatively large variance, while inactive taps are drawn from a zero-mean Gaussian distribution with much smaller variance [15, 16]: h_{i} sim 1-d_{i} cdotmathcal{{N}left(0, sigma_{0}^{2}right) + d_{i}cdotmathcal{N}left(0, sigma_{1-d_{i} cdotmathcal{
Our estimate seems to fall right in between with respect to the mean, but has a much smaller variance.
Furthermore, the repeated 10-fold cross-validation has much smaller variance than regular cross-validation that may be affected by a non-representative split of the data [26].
The fact that average Native American ancestry among Puerto Ricans is not much less than average African ancestry yet shows a much smaller variance among individuals reinforces the far more significant social role of African ancestry compared to Native American ancestry in this population.
Dynamically disordered k2 (case a) generates comparable variances as the disordered k1' (case b) does, while disordered k1 (case c) generates much smaller variances.
The theory predicts that uw Reynolds stresses have a significant influence in suppressing roof pressure fluctuations, even though its magnitude is typically much smaller than variances for wind velocity components in the atmospheric boundary layer.
Equation (19) is strictly valid in the limit where the variance in k eq values is much smaller than the variance in k b values (so that the two distributions can be distinguished).
According to the authors, the variance caused by formalin fixation was much smaller than the variance introduced by biological differences (liver versus tonsils).
Since variance in the prediction is therefore much smaller than the variance normally present for the numerator (O), this led to conservative estimates of 95% CI.
