27 天前 - … the main cause of dementia … principal component analysis (SSM/PCA), a multivariate
data-driven technique which allows the computation of disease-related spatial covariance …

38 天前 - … covariance perspective and a structural equation perspective. First, we derive a
covariance-… In line with the notation we use for causal mediation analysis, we consider three …

55 天前 - … the data analyses indicated the Ease of Usage, Brand Perception, and Product
Pricing variables causally … These data were then analysed using a Covariance-Based (CB)-SEM …

86 天前 - … but also cause additional … split covariance intersection filter (ISCIF). The general
consistency of the ISCIF is proven, serving as supplementary proof for the split covariance …

92 天前 - … Principal Component Analysis (PCA) is used to identify highly correlated clusters, …
on covariance within the predictors. The predictive regression model of Granger Causality test …

122 天前 - … AMOS 23 software was applied for covariance-based … analysis to examine the
causal relationships in the model. … theory perspectives, energy managers frequently use slack …

142 天前 - … type of research that uses structural equation modeling and has been carried out
using the causal-relational method and covariance-variance matrix analysis. In terms of the …

150 天前 - … Atmospheric drag is a principal cause of uncertainty in predictions of low Earth orbits
… results of an empirical prediction covariance analysis. Use our pre-submission checklist …

151 天前 - … This study is applied in terms of purpose and quasi-… Ethical principles were
obtaining informed consent from … The results of Multivariate analysis of covariance showed …

155 天前 - … and causal relationships … We use half-hourly eddy covariance fluxes from Pine
and Oak-dominated ecosystems located in Uttarakhand, India. We employ an information theory-…