The parameters in (8) have been chosen to imply a marginal variance of (y_{t}) equal to one and to resemble the values usually encountered in real empirical applications; see, for instance, Hentschel (1995) and Bollerslev and Mikkelsen (1999).2.2
Dolphins can detect the most marginal variance in an object's size and consistency – assessing even the molecular difference between a sheet of copper and aluminium.
For the estimation of the marginal variance of noisy observations, in [5] the following relation is proposed: (9).
Unless otherwise qualified, we use "phenotypic variance" to describe the observed marginal variance of the phenotype in the population and distinguish "phenotypic variability" as the residual variance after controlling for main effects of QTL and other anticipated or manipulated environmental covariates.
In [5] the marginal variance of the th coefficient is estimated using neighboring coefficients in the region, a squared shaped window centered on this coefficient with size.
Consequently, the statistical tests implemented in IUTA assume that all samples within group i have a common marginal variance-covariance matrix, Σ i + Υ i, that differs between groups.
ICAR models use a Bayesian framework, thus prior specifications were given for the conditional and marginal variance.
While the oblique bi-factor model accounted for a marginal amount of variance (GFI = 0.8616), an acceptable improvement in variance above a null model (CFI = 0.9073) was observed.
Diagonal elements in the variance matrix are estimates of marginal variances for all estimated parameters, and are denoted by for the estimated parameters in the model.
The estimator of the pooled exposure effect is a weighted average of the individual study estimators, weighted by the inverse marginal variances; the marginal variance is the sum of the individual study-specific variances and the variance of the random study effects.
Yet including the 4th or even 8th principal component only leads to a marginal increase in percentage explained of the variance from the original matrix.
