Sentence examples for variance and there from inspiring English sources

It is demonstrated that the estimates produced by the designed sliding mode mean-square filter and the conventional mean-square polynomial filter yield the same estimation error variance, and there is an advantage in favor of the designed sliding mode mean-module filter.

Variance components attributed to genotype accounted for 72.49% of the variance, and there was no significant effect of S. bicolor subspecies or country of origin.

Although limited in terms of sample size, the model has excellent explained variance and there is good evidence that the 9 groups differentiate clients into homogeneous groups.

Genome-wide association scans of polygenic traits have revealed that common alleles individually contribute only modestly to trait variance and there are claims that rare variants of greater individual impact could account for some of the missing heritability.

The model did not fit the data well and only accounted for 13% of the variance and there were 22 participants whose predicted scores fell more than two standard deviations away from their observed scores.

Tumor volume was monitored after treatment on day 0. The final tumor volumes among all three groups were compared by analysis of variance and there were not significantly different differences (p = 0.96).

Studies of like-sexed twins enable one to evaluate whether there are sex differences in the total variance and whether there are sex differences in the relative importance of genetic and environmental influences.

Meanwhile, [ 55] questions the use of correlation dimension and argues that it only reflects the change in variance and that there was little justification for its use over the simpler linear measure of variance.

The results confirmed that only the condition significantly explained the variance and that there was no significant difference in the performance (i.e. the dependent variable) between 'previously trained' and 'recently trained' individuals of the pull and push conditions (Fig. 3, Appendix Table A4).

Model 2 was based on the assumption that the parameter estimates would differ only in terms of the error variance and that there would be no statistically significant differences between both subsamples in terms of the regression coefficients of the latent constructs for the observed individual items and of the inter-correlation of the latent constructs.

Note that these analyses only include highly significant genotypes from GWAS that have been independently replicated, thus they capture a minor proportion of the suspected genetic variance, and consequently there is not a strong expectation at this stage of genomic medicine that the relatively small genotypic samples should be predictive [ 31, 32].