Spatial scan statistics are tools that could be applied for identifying concentrations of poor recovery outcomes.
In [23] sentiment analysis was suggested as one of a set of linguistic markers that could be applied for identifying potential lone wolf terrorism.
In this study, a methodology was presented using pediatric PedsQL™ responses that can be applied for identifying spatial concentrations of populations reporting similar functional outcome and health-related quality of life scores after injury.
In this vein, there has been a long debate as to whether confirmatory factor analyses (CFA) or structural equation modeling (SEM) may also be applied for identifying the five-factor model of personality domains at all (e.g., Aluja, García, García, & Seisdedos, 2005; Borkenau & Ostendorf, 1990; Church & Burke, 1994; McCrae, Zonderman, Costa, Bond, & Paunonen, 1996; Vassend & Skrondal, 1997).
The model was applied for identifying a continuum constitutive law for the solid fraction.
Histochemical staining and radio-immunological analysis were applied for identifying MSCs.
Computational clustering techniques are applied for identifying structural features relating to bioactivity.
In addition, an outlier detection technique has been applied for identifying irregular behaviors inside each of the considered classes.
After calculating desertification hazard index, regression trees and random forest technique was applied for identifying preference of main criteria affecting desertification.
Quality Function Deployment (QFD) technique has been applied for identifying the statistic(s), which are of high significance from a project designer's point of view.
