Sentence examples for lack of variance from inspiring English sources

Given this observed lack of variance, the variables were dropped from the model (Hamilton 2013, p. 404).

This lack of variance is undesirable, since it means that the numerical information provided is very limited.

The lack of variance in between controls of both SUVrp/c and SUVrp/o presumes that the use of anti-epileptic drugs has not influenced our results significantly.

fTwo of the disaggregated SCP variables, Increase Speed and Electric Perimeter Fence were excluded from the disaggregated models because the models failed to converge when these variables were included as random effects, due to a lack of variance across continents.

The lack of variance of the factor loadings and strong indicators of model fit supported the notion that factor structure of the EPE remained invariant from 1998 to 2011.

This implies that managers having a broad behavioural repertoire and performing different roles frequently will perform better than their peers having a simplistic strategy-making process, which is characterized by a lack of variance in the behaviour of the manager.

As discussed in the model adequacy section, the use of the logarithms of the rates yielded a model that fulfilled the assumptions of linear regression, once an outlier was removed; the residuals of that model did not prove to lack a normal distribution, did not have a mean that proved to differ from zero, and did not prove to lack homogeneity of variance.

For single traits, a short-term measure of adaptive potential is given by the additive genetic variance (see eqn 1), and a lack of such variance corresponds to a genetic constraint (i.e., adaptive potential and genetic constraints are two sides of the same coin).

For now, as well as noting the lack of a variance components for the fixed effects, also recall that the variance components are the super population estimates.

Using the mean creatinine excretion per kilogram of body weight for all cows to estimate urine eliminates the lack of fit variance resulting in artificially low within-treatment variation for estimated urine volume.

The obtained fits were evaluated by the lack of fit variance and the significance level of the F-statistics.