Sentence examples for characterizes the variance from inspiring English sources

The complexity costs and the system performance of the ideal receiver, which perfectly characterizes the variance of the IN term, are also provided.

The complexity analysis reveals that the proposed methods alleviate the complexity with respect to the cost of implementing the ideal receiver, which perfectly characterizes the variance of the IN term.

The durability of concrete with low-degradation aggregates due to cyclic freezing and thawing effect is experimentally studied by characterizing the variance of fracture energy with respect to the number of freeze/thaw (F/T) cycles.

Further, genetic researchers are generally solely interested in characterizing the variance of estimates of how much SNPs influence outcomes and point estimates are generally not the focus.

That is, the distribution of the generation time plays a key role not only in estimating R [53], [54] but also in characterizing the variance of final epidemic size.

The model variance component characterizes the variability of the regression coefficients used to predict ALS-based estimates of biomass as a function of GLAS measurements.

T/G interferometry is used to characterize warpage of the microdisplay's base-plate, while Newton interferometry is used to characterize the gap variance between face-plate and base-plate of the microdisplay.

The aim of this study was to characterize the genetic variance of somatostatin receptor 5 (SSTR5) and investigate the possible correlation of such variants with acromegaly risk and different disease characteristics.

Because MR images are reconstructed using the Fourier transform, the variance that characterizes the uncertainty due to thermal noise is constant throughout the imaging volume.

In our study, we could only estimate the variance that characterizes the uncertainty of the MR measurement due to thermal noise.

The second moment, or variance, characterizes the degree to which observations deviate from the mean; the third moment, the skewness of the distribution of observations, was clarified earlier; and the fourth moment, the 'peakedness' or height of the distribution compared to the length of its tails.