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Autologistic models for benchmark risk or vulnerability assessment of urban terrorism outcomes
We develop a quantitative methodology to characterize vulnerability among 132 U.S. urban centers (‘cities’) to terrorist events, applying a place-based vulnerability index to a database of terrorist incidents and related human casualties. A centered autologistic regression model is employed to relat...
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| 出版年: | J R Stat Soc Ser A Stat Soc |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5994772/ https://ncbi.nlm.nih.gov/pubmed/29904240 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssa.12323 |
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