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Applied Statistics Commons

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Full-Text Articles in Applied Statistics

Do Home Invasion Serial Killers Warrant A Distinct Classification From Other Serial Killer Location Types? A Retrospective Comparative Examination, Caroline V. Comerford Mar 2022

Do Home Invasion Serial Killers Warrant A Distinct Classification From Other Serial Killer Location Types? A Retrospective Comparative Examination, Caroline V. Comerford

FIU Electronic Theses and Dissertations

This dissertation seeks to address the research gap in serial homicide regarding home invasion serial killers (HISKs) and add to existing policy by providing insight and approaches to assist in serial murder investigations of such killers. Data for the study was obtained from the 2019 Radford University/Florida Gulf Coast University Serial Killer Database (RU/FGCU SKD) and additional public information searches. A retrospective comparative design and proportionate stratified random sampling of 326 serial killers from the RU/FGCU SKD (2019) were used to examine the differences and classifications of HISKs and non-home invasion serial killers (non-HISKs) in three investigations: (1) common characteristics; …


Gis-Integrated Mathematical Modeling Of Social Phenomena At Macro- And Micro- Levels—A Multivariate Geographically-Weighted Regression Model For Identifying Locations Vulnerable To Hosting Terrorist Safe-Houses: France As Case Study, Elyktra Eisman Nov 2015

Gis-Integrated Mathematical Modeling Of Social Phenomena At Macro- And Micro- Levels—A Multivariate Geographically-Weighted Regression Model For Identifying Locations Vulnerable To Hosting Terrorist Safe-Houses: France As Case Study, Elyktra Eisman

FIU Electronic Theses and Dissertations

Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to …