part entails the analysis of hypotheses and data-reduction techniques regarding the credit crunch. The effects of credit …

business research for data reduction, latent variable modeling, multicollinearity resolution, etc. However, while its optimal … interpretable with no need for rotation. In addition, the proposed procedure can enhance data reduction efforts since fewer raw …

Thermodynamics (in concert with its sister discipline, statistical physics) can be regarded as a data reduction scheme … conventionally, the systems investigated require this form of data reduction in order to facilitate prediction, a different problem … responsible for the interactions) but rather, description as a route to understanding. Still, the need for a thermodynamical data …

model's results on the data set and show through a data reduction process that the idiosyncratic part of GDP growth can be …

Determines that factor analysis is a data reduction technique, which takes a number of different variables and tries to …