Sentence examples for basis of variance from inspiring English sources

Exact(1)

Reduction of unexplained variance is calculated on the basis of variance components obtained in the modelling procedure.

Similar(59)

On the basis of variances in AFLP profiles, the strains were grouped in two major clusters; one comprising strains isolated from horses and infected wounds of humans bitten by horses and another consisting of strains isolated from bovine and ovine hosts.

Similar to the variances for the fitness, the phenotypic variance V ip(i) for each gene i in an isogenic population is defined on the basis of the variance of the expression of each gene i, with each X i = Sign(x i), in an isogenic population.

On the basis of the variance analysis, the updating parameters are determined by the parameter significance test.

The basis of the variance reduction strategy is to appropriately augment the governing system equations and then weakly replace the stochastic forcing function (which is typically a filtered white noise process) through a set of variance-reduced functions.

It consists of three basic components: (a) an intrinsic metric for detecting outliers on the basis of minimum variance principle; (b) bi-means clustering of a normalized histogram; (c) surface propagation for a geometric coherence check.

The sampling programme for tactical prospection (reconnaissance) was designed according to the Visman method, on the basis of the variance and precision to be accepted, the budget available and the objectives laid down.

African, European and Asian pulling apart thus means that these 'sets' are mutually divergent on the basis of genetic variance.

To overcome the drawbacks of ETX, modified expected number of transmission (mETX) and effective number of transmission (ENT) are designed on the basis of link variance in order to make ETX an quality aware routing metric [51].

A second data set representing different years of observations for the same lakes was used to compare the two modeling approaches on the basis of prediction variance; the result was a 12.7% reduction in mean squared prediction error for the random coefficient model.

Interestingly, 72% of the top 1000 correlating probes overlapped with the 5444 informative probes selected on the basis of the variance across the samples.

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