A generalized quantitative evaluation model based on the Fuzzy Delphi Method and Analytical Network Process were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSSCM.
Interpolation is based on the principle of spatial auto-correlation or spatial interdependence, which measures the degree of relationship between near and distance points.
Different types of the interdependence are measured through the regressions using crisis dummy variables.
Secondly, this work clarifies all kinds of interdependence by measuring the flight to quality, the flight from quality, the negative spillover and the positive spillover in conjunction with the different changing directions of interdependence.
Thus, an activity that shows a high degree of interdependence, as measured by the proportion of output sold to or purchased from other industries, can provide a strong stimulus to economic growth.
Our empirical observation and the correlation analysis highlight the interdependence between multiple measures of HRV, and the unresolved debate regarding the most efficient and effective means to characterize HRV.
Based on these, we chose first order autoregressive covariance structure to account for the interdependence of repeated measures.
Such interdependence is usually measured through either backward or forward linkages.
The electrocardiographic and echocardiographic data, which were not normally distributed, were compared by Mann Whitney U test and Spearman's rank-order correlation coefficient was used for assessing the interdependence between the measured variables.
Pearson correlation coefficient (PCC) is a standard measure of interdependence between two random variables.
The CSD function measures the interdependence of two time series as a function of frequency which makes it important in many applications.
