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Robust Regression Methods For Massively Decayed Intelligence Data, Akiva Joachim Lorenz
Robust Regression Methods For Massively Decayed Intelligence Data, Akiva Joachim Lorenz
Wayne State University Dissertations
Homeland Security, sponsored by governmental initiatives, has become a vibrant academic research field. However, most efforts were placed with the recognition of threats (e.g. theory) and response options. Less effort was placed in the analysis of the collected data through statistical modeling. In a field that collects more than 20 terabyte of information per minute though diverse overt and covert means and indexes it for future research, understanding how different statistical models behave when it comes to massively decayed data is of vital importance.
Using Monte Carlo methods, three regression techniques (ordinary least squares, least-trimmed, and maximum likelihood) were tested …