Sentence examples for variance from the original from inspiring English sources

The mandatory recount revealed no variance from the original count.

For one, factor analysis has an array of rotations and extractions to choose from, given the same amount of variance from the original data.

Yet including the 4th or even 8th principal component only leads to a marginal increase in percentage explained of the variance from the original matrix.

However, researchers often account for nearly all of the variance from the original data using only the first few, or lower-order principal components (PCs), which are often associated with the most dominant movement patterns.

The two extracted factors explained 54.7% of the variance from the original data.> -wrap-foot> Factor loadings under 0.4 have been suppressed for clarity.

Although this simulation has removed the variance from the original biological replicates it shows that increasing the number of libraries at the expense of read depth improves detection of TC 3′ ends showing differential abundance, as was previously noted [ 31].

A recent review paper on cranio-facial superimposition (CFS) stated that "there have been specific conceptual variances" from the original methods used in the practice of skull-photo superimposition, leading to poor results as far as accuracy is concerned.

For a simple derivation of the IVA algorithm, we assume that y i b has a unit variance to eliminate the variance terms from the original IVA learning algorithm [19].

Principal component analysis allowed for extracting five latent constructs from a set of 14 variables representing Likert-scale statements denoting possible behavioural, attitudinal and emotional antecedents of delay time (Kaiser-Meyer Olkin (KMO) measure of sampling adequacy = 0.682; total variance retained from the original data = 67.8%; component solution rotated with varimax method).

This is true even while these principal components typically capture less variance of the original underlying matrix from which they were derived.

This will introduce some unnecessary distortion since the distribution of the prediction errors estimated from the marked pixels has a bigger variance than that estimated from the original pixels.