(3) In this paper, the investigation of investment risk is based on interest rates and temporal and spatial
population covariance and variations of population distribution year by year.
For several learning problems, estimates of the inverse
population covariance are required and often obtained by inverting the model covariance matrix.
According to Hu and Bentler (1998), the SRMR is most sensitive to misspecified factor covariances, while the RMSEA is an indication of a lack of fit of the model to the
population covariance matrix.
It asks the question <<How well would the model, with unknown but optimally chosen parameter values, fit the
population covariance matrix if it were available?>> (Browne & Cudeck, 1993, pp.
A GFI of 0.99 indicates that 99% of the sample covariance matrix fits the
population covariance matrix.
We test the hypothesis that the
population covariance of observed variables equals the covariance matrix implied by a particular model.
Chen's (1979) approach was to assume a given structural form for [Omega], the mean of the prior distribution of the
population covariance matrix [Sigma], and to estimate the posterior mode (or mean, as a result of symmetry), given the prior structural model.
The OMD estimator, [[Theta].sub.n, OMD], is obtained by setting [[Omega].sub.n] equal to the inverse of an estimator of the
population covariance matrix of [S.sub.n].
The estimates of the cumulative net selection gradients were greater for the assumption of a genetic architecture similar to the modern populations than for the assumption of a genetic architecture similar to the overall
population covariance matrix (Table 5).
Compared to two other variations, the hot-deck distance method performed better in retaining the
population covariance structure in imputed samples.
A non-significant [chi square] indicates that the model fits the data and that the model can reproduce the
population covariance matrix (Kelloway, 1998).