Forecasting Dangerous Inmate Misconduct: An Application of Ensemble Statistical Procedures
In this paper, we attempt to forecast which prison inmates are likely to engage in very serious misconduct while incarcerated. Such misconduct would usually be a major felony if committed outside of prison: drug trafficking, assault, rape, attempted murder and other crimes. The binary response varia...
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| Contributors: | ; |
| Format: | Electronic Article |
| Language: | English |
| Published: |
2006
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| In: |
Journal of quantitative criminology
Year: 2006, Volume: 22, Issue: 2, Pages: 131-145 |
| Online Access: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
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| Check availability: | HBZ Gateway |
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