Sentence examples for variance along the from inspiring English sources

The Pacific ENSO has largest variance along the equator because it is excited by the Bjerknes feedback [1].

The variance along the airlight vector is the color ellipsoid projected onto the airlight vector, σ a = a T Σ ~ a. (56).

Each singular vector corresponds to a mode of variation of the considered hand posture of class h, and its corresponding singular value is related to the variance along the mode specified by the singular vector.

Formally, given the matrix M i, the lag-covariance matrix defined as ({mathbf C}_{i}={mathbf M}_{i}{mathbf M}_{i}^{T}) can be used for extracting the eigenvectors of C which define an L-dimensional subspace where the time series (mathbb {M}_{i}) resides, while the associated eigenvalues encode the variance along the direction of the associated eigenvector.

From the variogram plots (Fig. 6b, c) showing the variance along the paired distance, we also found the flattened slope of semi-variogram for predictions with texture information, suggesting that a large part of spatial dependence at the short distance were explained by the texture layers included in the model.

The second PSF field, BLUR2, is a Gaussian function whose width (square root of variance along the horizontal axis) is fixed and equal to σ x  = 1.6, whereas its height changes exponentially along the vertical axis by σ y ( x 0, y 0 ) = 1.

The reduction of genetic variance, along with the smaller sample sizes, reduced the power of detection in hybrids relative to inbreds.

The reduction in bias and variance, along with the reduction in number of hotspots with a percentage change above the individual thresholds, is smaller when using the non-optimal filters; however, when compared to SUVmax, the reduction even with non-optimal filters is still significant.

It is important to remember that there is quite a bit of noise in the polls based on statistical variance, along with the methodological choices that different polling companies make.

At the same time, it leads to growth in variance along with the computation time.

The variances along the main axes can be computed using eigendecomposition: V Lambda V^{T} = Sigma_{i}.