Sentence examples for a minimal variance. from inspiring English sources

The solution to this problem is used to estimate the parameter of interest with a minimal variance.

In particular, we have verified the different admissible decompositions; the selection of the canonical decomposition using the criterion of a minimal variance for the irregular component and using a pseudo-spectrum criterion; the derivation of the Wiener-Kolmogorov filter for the two components; and the difference between theoretical components, their estimators and their estimates.

Finally, for the studies where no useful information could be retrieved from the publication, we considered that the HR estimate was 1 (i.e. no impact at all for Ki-67) and used a minimal variance compared to the included studies of the same size.

DICS is based on a linearly constrained minimal variance beamformer (Van Veen et al. 1997) in the frequency domain and allows us to compute coherence between neural activity at each voxel and the acoustic envelope.

In other words, the minimal variance of an individual's habitual route was a significant predictor of leadership (p < 0.01, binomial test; note that as we are considering a specific property of each pair the relative individual route variance we consider pairings as independent events).

The main objective here was to present a multivariate experimental design and data collection including control factors, noise factors, and two correlated responses, capable of achieving a reduced surface roughness with minimal variance.

The resulting mean-variance frontier is three-dimensional expressing the minimal variance as a function of the targeted levels for the deterministic and random drift.

Wang et al. [11] developed the weighted less flexibility first algorithm (WLFF), which constructs each burst on the best edge selected in the free bandwidth area.a The best edge is the edge on which a constructed burst generates the minimal variance of the sub-blocks in the free bandwidth area.

More precisely, the smoother version of the original image is first obtained by some smooth filter, and then, minimizing the Chan-Vese minimal variance criterion on the gray level sets, the image is divided into two subregions.

The green curve shows the theoretically predicted minimal variance as a function of mean expression (Appendix 1 ).

The database therefore offers a unique opportunity to search for genes that have particular expression characteristics across experiments, for example reference genes that have minimal variance across a chosen set of conditions.