G-theory variance components for the VAS and TTO scores are shown in Table 2.
As an important measurement index of deviation degree in the credibility theory, the variance is vital in practice as well.
The KS theorem, it is claimed, leaves enough loopholes for a HV theory at variance with QM, but able to reproduce the theory's empirical predictions.
By incorporating the technique of state estimation into the practical covariance control theory, a variance constrained control methodology is developed for the continuous TS fuzzy models.
Furthermore, considering that the estimation theory, the variance of channel estimation error is a function of the channel conditions, especially, the SNR.
However, for models with correlated inputs, only a few researches have been done and the existing theory of variance based global sensitivity is not so consummate.
For example, according to Brennan's (2001) generalizability theory, the variance in the GLMM coefficients that can be traced back to different assumptions about measurement invariance should be added to the standard errors of these coefficients.
According to standard quantitative genetics theory, genetic variance consists of additive, dominance and interaction components [ 34].
At least in theory, such variance in epistatic interactions reduces the effects of selection for increased recombination [ 18].
(Does η3A, η3B, or η3C belong in the theory?) Error variance specifications attend to theory consistency, not merely to indicator correlations.
Measures of risk have evolved considerably since the classic portfolio theory mean-variance framework.
