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Item Details
| Title:
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USING MODELING TO PREDICT AND PREVENT VICTIMIZATION
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| By: |
Ken Pease, Andromachi Tseloni |
| Format: |
Paperback |
| List price:
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£49.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3319031848 |
| ISBN 13: |
9783319031842 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
10 January, 2014 |
| Edition: |
2014 ed. |
| Series: |
SpringerBriefs in Criminology 13 |
| Pages: |
80 |
| Synopsis: |
This work provides clear application of a new statistical modeling technique that can be used to recognize patterns in victimization and prevent repeat victimization. The history of crime prevention techniques range from offender-based, to environment/situation-based, to victim-based. The authors of this work have found more accurate ways to predict and prevent victimization using a statistical modeling, based around crime concentration and sub-group profiling with regard to crime vulnerability levels, to predict areas and individuals vulnerable to crime. Following from this prediction, they propose policing strategies to improve crime prevention based on these predictions. With a combination of immediate actions and longer-term research recommendations, this work will be of interest to researchers and policy makers in focused on crime prevention, police studies, victimology and statistical applications. |
| Illustrations: |
10 Tables, black and white; 11 Illustrations, black and white; VIII, 80 p. |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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