This article presents and compares two approaches of principal component (PC) analysis for two-dimensional functional data on a possibly irregular domain. The first approach applies the singular value ...

Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...

As anyone who is familiar with personality trait theory knows, researchers have identified a “big five” of dispositional tendencies that reliably predict human behavioral patterns and show up almost ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Gap analysis describes differences between required and actual systems. You can use it to analyze both computer systems and other business functions. Functional gap analysis characterizes the ...