In perspective, the ability of such approaches in explaining the multivariate aspects of the relevant processes is needed to specify flood hazard scenarios in terms of their intensity, extension and frequency.
In multivariate analysis, one aspect of work environment training opportunities was associated with intent to stay: Those with high scores for training opportunities were more likely to have higher intent to stay (β = 0.101, P < 0.05).
For the correct specification of the multivariate model, one main aspect of meta-analysis is the detection and consideration of between-study variation.
Because each PC captures a unique aspect of multivariate variation, it shows that significant differences across populations in the accessory gland proteome occur along many distinct multivariate dimensions.
In the present study, we have been able to develop a multivariate model relating the physical aspect of HRQOL (as measured by the PCS of the SF-36) and all chronic conditions – grouped by body systems – of patients with multimorbidity, while taking into account the degree of severity of the health impairments evaluated with the CIRS.
Multivariograms can be used to summarise time variations in multiple analytes and highlight the multivariate time autocorrelation aspects of these analytes.
SEM is a multivariate technique combining aspects of multiple regression and factor analysis and thus testing underlying factors and hypotheses simultaneously in the same analysis [ 76, 78].
We conclude that the drivers of compositional persistence in marine fouling communities exposed to environmental change (i.e. one aspect of stability) are multivariate and interactive.
With this study we have demonstrated the feasibility of developing a multivariate model for the physical functioning aspect of the HRQOL applicable to patients with multimorbidity that takes into account all the chronic diseases (grouped by organ domains) and their level of severity, while controlling for age, education, perceived social support and economic status.
An interesting aspect of the bivariate and multivariate versions of the generalized Waring distribution is that their marginal distributions (conditional and unconditional) as well as their convolution are of the same form (UGWD's), properties that exhibit a symmetry analogous to that existing in the case of the multivariate normal distribution.
