Important classes of variance structure models include general linear models (GLMs [ 8] ) and structural equation models (SEMs [ 9]).
LMM with variance structure at the cluster level was also fitted.
The generalized statistical traffic assignment (GESTA) model has a clear multi-level variance structure.
We assume a general and possibly heterogeneous variance structure depending on the design points.
Heteroscedasticity was detected and modelled with an exponential variance structure using the fitted values as variance covariate.
Again this is a very common situation in actual surveys since the underlying variance structure is usually unknown.
There was no evidence of heteroscedasticity for both species, indicating that the variance structure was adequately modelled.
The variance structure of these data is proposed as a means to delineate different kinds and levels of resilience.
This multi-resolution dataset was analyzed using Principal Components Analysis (PCA) to identify the dominant variance structure in the dataset.
There is no clear pattern between mean neurocognitive scores and their standard deviations; each measure has its own unique variance structure and coefficient of variation.
This variance structure justified our use of latitude as a key variable across which we quantified the fitness parameters of female bagworms.
