Sentence examples similar to classified variance from inspiring English sources

The difference between fasting and immediate post-meal was highly significant, irrespective of whether the lotteries were classified by variance (as above), standard deviation (paired t(17) = 3.08, p = 0.007), coefficient of variation (paired t(17) = 3.04, p = 0.007), or variance-to-mean ratio (paired t(17) = 3.00, p = 0.008).

There are some classes in Caltech 101 in which images are very difficult to be classified because of the high intra class variance.

These findings support the use of within-field ECa-classified variance as a surrogate for plot-scale experimental error and a basis for roughly evaluating treatment differences in non-replicated field-scale experiments.

Model 3 was significant [ χ (6) = 53.2, P < 0.001, r = 0.61], accounted for 61% of the variance, accurately classified 80% of nsALC and 89% of sALC into their respective groups, with an overall classification accuracy of 85%.

Models with constant residual variance provided also better specificities than models with varying residual variance because they classified fewer women in the upper group of hCG level, which was considered predictive of GTN.

Under the assumption that subjects assigned to the lowest risk category would not be referred for specialist care, at variance with those classified as AKDN risk categories ≥2 or KDIGO risk categories ≥ high, this would result in more accurate and less expensive management of diabetic individuals with CKD.

QTL were classified as major if the phenotypic variance explained was larger than 10%, and minor when it accounted <10% of phenotypic variance [ 69].

At variance, pre-PMF patients classified at high risk according to IPSS have a dismal median survival, lower than 5 years and similar to that of high-risk overt PMF15.

In the clinic, the wide spectrum of phenotypic variance in OI is classified into five types, based largely on the Sillence classification system that was originally outlined 35 years ago.

The model explained 7.4% of the variance in CRP and correctly classified 52.9% of cases.

The model explained 68.6% of the variance in death and correctly classified 83.8% of cases.