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...
Authors: | ; ; |
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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: |
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Check availability: | HBZ Gateway |
Keywords: |