Sentence examples for minimum variance was from inspiring English sources

An attempt was made to obtain the direction of the wave number vector using minimum variance analysis, but the ratio of the intermediate to minimum variance was not large enough to obtain the minimum variance direction with a good accuracy.

Figure 5 shows an example of the direction of the minimum variance and the hodogram for an 8-s period from 5 24 0 to 5 24 8, during which the ratio of medium to minimum variance was 4 and the minimum variance direction was calculated to be (0.83, 0.48, –0.28) in SSE coordinates.

An attempt was made to obtain the propagation direction of the magnetic fluctuations by using the minimum variance analysis (Sonnerup and Cahill, 1967), but the ratio of the magnetic field variations (medium to minimum variance) was often too small to obtain the accurate direction of the minimum variance.

The minimum variance was used to select the correct unwrapping point for each cone, above which values were reduced by 2 π and below which values remained intact.

Linear models were subtracted from the measured phase, and the residual phase values were unwrapped using the variance minimization technique employed for spatial unwrapping, and the minimum variance was recorded for each linear model.

The variation of these VIM scores was obtained and the point of minimum variance was initialized as a threshold, from which 93 amino acid indices were retained for the further index reduction by nested RF feature selection approach described in detail by Genuer et al. [ 16].

Minimum bias and minimum variance are shown to be contradictory experimental design objectives.

The minimum variance is 0.637, which is quite close to that from simple kriging.

In the proposed model, to decrease the computation and improve the accuracy, the conditional generalized minimum variance is used to select the key features.

These weights do not depend on the {α i }, and thus we can apply Theorem 2. The minimum variance is then given by substituting the optimal {α i } from Eq. 43 to Eq. 41, resulting in V_{{text{min}}}left[!{mathcal{F}}^{1}right]~=~left(sum_{i~=~1}^{n} M_{i,{text{eq}}}right)^{2} -mu^{2}, (44).

The ratio of the excess forecast variance to the minimum forecast variance was 4.016.