The book provides a brief introduction to seven aspects of terrorism. It starts with acknowledging the ambiguity of the concept of terrorism.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Andre Python is ZJU100 young professor of Statistics at Zhejiang University. His current research interests are in extending statistical models to address policy-relevant issues raised by the spread of phenomena threatening global security and health. In 2017, Andre completed a PhD in Statistics at the University of St Andrews, applying a Bayesian spatiotemporal model to capture fine-scale patterns of non-state terrorism across the world. As postdoctoral researcher at the University of Oxford, he has developed geostatistical models and actively contributed to the design and teaching of Bayesian statistics and R software courses for PhD students and University staff.
Inhaltsangabe
1. The Role of Statistics in Debunking Terrorism Myths. 2. Myth.1: We Know Terrorism When We See It. 3. Myth.2: Terrorism only aims at killing civilians. 4. Myth.3: The vulnerability of the West to terrorism. 5. Myth.4: A homogeneous increase of terrorism over time. 6. Myth.5: Terrorism Occurs Randomly. 7. Myth.6: Hotspots of Terrorism are Static. 8. Myth.7: Terrorism cannot be predicted. 9. Terrorism: Knowns, Unknowns, and Uncertainty.
1. The Role of Statistics in Debunking Terrorism Myths. 2. Myth.1: We Know Terrorism When We See It. 3. Myth.2: Terrorism only aims at killing civilians. 4. Myth.3: The vulnerability of the West to terrorism. 5. Myth.4: A homogeneous increase of terrorism over time. 6. Myth.5: Terrorism Occurs Randomly. 7. Myth.6: Hotspots of Terrorism are Static. 8. Myth.7: Terrorism cannot be predicted. 9. Terrorism: Knowns, Unknowns, and Uncertainty.
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