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An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Hua Li1, George E Apostolakis, Joseph Gifun
1Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA.
This study presents a systematic methodology for assessing and ranking risks from natural hazards, accidents, and malicious acts. It aids communities in developing risk-informed decision strategies for critical infrastructure protection.
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