Sentence examples for valid variance from inspiring English sources
Overall, subjective well-being measures seem to contain a substantial amount of valid variance; however, of course, the limitations of using such self-reported data need to be kept in mind in the following analysis.
It is not obvious that Rubin's rules will give valid variance estimators for IPW/MI.
Note that the appropriate choice of the model is not only crucial for avoiding a spurious population size estimate of scrapie (see Table 2), it is also important for achieving valid variance estimates leading to trustworthy confidence intervals.
While a higher number of response categories should result in a higher amount of variance in the data, it is not clear whether this variance is due to a better representation of the measured construct (valid variance) or mere method variance.
We obtain expectations associated with the likelihood function, and use these to obtain asymptotically valid variances and correlations for maximum likelihood estimates of model parameters.
If a trait is a valid construct, trait variance -- variance common to different measures of the same trait -- should be greater than method variance -- variance common to similar measures of different traits.
None of the studies reported the design effect or intra-cluster correlation coefficient needed to calculate valid associated variances for the estimates of interest.
The classical F-test for testing the hypothesis of no fixed main effects in a mixed model is valid under normality, variance homogeneity and symmetry assumption.
For these data, multiple, valid, binary, and variance fMRI priors proved best for a standard Minimum Norm inversion.
In addition, Long's test might not be valid when the variance among markers is large [ 30] and the structure of larval salamander populations (potentially a few large sibships) might accentuate the influence of genetic drift.
Importantly, as is the case for single-subject fMRI analysis, trials are treated as fixed effects and the approach takes into account between-trial variance, allowing valid inferences to be made on single-subject data.
