Sentence examples for resultant variance from inspiring English sources

The test was done by entering all constructs into an unrotated principal components factor analysis and examining the resultant variance.

A Durbin-Watson test was carried out to assess whether there was autocorrelation between residuals and the resultant Variance Inflation Factor (VIF) evaluated in order to assess for multicolliniarity between variables.

Briefly, the mean current (300 500 events) was scaled to each individual event (M iniA nalysis software), and the resultant variance plot as a function of the mean was fitted with a parabola.

That is, if biased estimates from a wrongly specified model are put through the perfectly-adequate mathematics providing variance implications, are the resultant variances "explained" or "accounted for"?

Appendix figure 1 shows the resultant heteroplasmy variance trajectories for different cases (with h0 = 0.1; other initial heteroplasmies showed similar behaviour).

To account for treatment effects and time trajectories on the IBS-QOL total score, reliability was assessed by first estimating variances via a linear model and utilizing the resultant conditional variances to establish reliability.

The incorporation of individual diet heterogeneity and/or nestedness into a mixing model presents a non-trivial computational challenge due to the highly constrained covariance structure of diet compositions (i.e. compositions must sum to unity) and the resultant non-normal variance associated with compositional data.

Results from the analyses including mean, posterior genetic and residual variances, and the resultant proportion of variation accounted for by SNPs are in Table S2.

Subject speed of response is a factor that has been shown to result in significant inter and intraindividual variation and can be corrected for with resultant reduction in random variance [ 13].

The coatings were oxidized at 800 °C for 50 h in air, and the resultant morphology and compositional variance were studied utilizing transmission electron microscopy.

By subtracting vector output of time-dependent models from field-observed directions, the resultant mean residual and variance of the offset between these data sets can be used to identify patterns of correspondence and variation between model-predicted directions and field observations.