Sentence examples for underestimation of the variance from inspiring English sources

The application of these naïve estimators to the Chilean South Pacific swordfish fishery results in an underestimation of the variance.

In order to overcome an underestimation of the variance due to data from within a Danish twin pair being highly correlated, the twin pairs were treated as clusters in the estimation of the correlations and their variances.

Except for some special cases (e.g. artificial selection experiments based on the development of divergent lines from a common founder population), assuming star shaped phylogenies, as in a pure-drift model, remains highly unrealistic and leads to an underestimation of the variance in allele frequency when a hierarchical structure exists among the populations studied [30].

So, the underestimation of the variance (0.79 instead of 1.09) has led to overestimate the power by 8%.

All analyses were corrected for within-pair dependency, by clustering on pair identification, to avoid underestimation of the variance.

However, the per-lesion analysis lacked independence between the observations, which may result in underestimation of the variance in the sensitivity and specificity estimates.

Since standard MI strategies ignore the between cluster variance and fail to account for the intra-cluster correlation, the within imputation variance may be underestimated, which could lead to underestimation of the total variance and consequently the narrower confidence interval.

Slopes of the regression of de-regressed EBV on the GEBV indicate bias in the scale of the GEBV, i.e. values greater (lower) than 1.0 indicate underestimation (overestimation) of the variance of the GEBV.

As a consequence, an underestimation of this variance will lead to an overestimation of the power of the group effect.

Indeed, we provide simulation results for stratified simple random sampling showing that the use of design bootstrap weights may lead to substantial underestimation of the total variance, even when finite population corrections are ignored.

A PV of less than one implies underestimation of the true variance.