Sentence examples for variance difference from inspiring English sources

However, when these non-parametric FRF estimates are used to find a parametric estimate, this variance difference will not affect the result.

The results indicate the significance of the differential diffusion (ΓA ≠ ΓB) effects on the low-order moments of the differential diffusivity variable (Z), the normalized scalars' variance difference, the scalars' cross correlation coefficient, and the moments of reacting scalars.

The bottom panel shows the variance difference w.r.t. the model with 11 uncertain parameters for four parsimonious models.

Ascenso et al. [6] proposed a coding scheme with dynamic GOP structure according to four motion activity metrics (i.e., difference of histogram, histogram of difference, block histogram difference, and block variance difference) in a frame, by which each frame in a video sequence is thus classified into KF or WZF mode.

To test the genomic sequences for random walk properties, or lack thereof, we computed the variance difference between genomic oligonucleotide frequencies and Markov chain approximated oligonucleotide frequencies.

Using the generalized form of Weber's law, which is the most accepted expression of the relationship between variance (difference threshold) and duration (real time) [49], a linear regression was performed.

Variance differences between the different strata of education, however, were left intact in our analyses.

Variance differences between the different strata of education, however, were left intact in our analyses.> Twin correlations are summarized in Table  2.

By using analysis of variance, differences in students' test scores between instruction forms were examined.

In particular, we demonstrate that useful data-analytic information about mean and covariance differences can be obtained from SMVCIR when SAVE finds many dimensions due to variance differences.

In this paper, we propose a new data analytic method, called sliced mean variance covariance regression (SMVCIR) which can readily detect both first and second order differences between the classes even when many variance differences exist.