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Titlebook: Using Modeling to Predict and Prevent Victimization; Ken Pease,Andromachi Tseloni Book 2014 The Author(s) 2014 Crime Prediction.Crime Prev

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發(fā)表于 2025-3-21 19:56:47 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Using Modeling to Predict and Prevent Victimization
編輯Ken Pease,Andromachi Tseloni
視頻videohttp://file.papertrans.cn/945/944592/944592.mp4
概述Presents a new statistical modeling technique for predicting and preventing repeat victimization.Covers theory, research and practice for modeling crime.Provides clear applications with recommendation
叢書名稱SpringerBriefs in Criminology
圖書封面Titlebook: Using Modeling to Predict and Prevent Victimization;  Ken Pease,Andromachi Tseloni Book 2014 The Author(s) 2014 Crime Prediction.Crime Prev
描述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.
出版日期Book 2014
關(guān)鍵詞Crime Prediction; Crime Prevention; Police Crime Response; Repeat Victimization; Victim Characteristics;
版次1
doihttps://doi.org/10.1007/978-3-319-03185-9
isbn_softcover978-3-319-03184-2
isbn_ebook978-3-319-03185-9Series ISSN 2192-8533 Series E-ISSN 2192-8541
issn_series 2192-8533
copyrightThe Author(s) 2014
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:46:05 | 只看該作者
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https://doi.org/10.1007/978-3-319-03185-9Crime Prediction; Crime Prevention; Police Crime Response; Repeat Victimization; Victim Characteristics;
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Conclusions: What Next?,The last section reprises the main points of the work and proposes a programme of research to improve the precision of population-subgroup vulnerability prediction, alongside recommendations for immediate action.
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發(fā)表于 2025-3-23 00:50:31 | 只看該作者
Ken Pease,Andromachi TseloniPresents a new statistical modeling technique for predicting and preventing repeat victimization.Covers theory, research and practice for modeling crime.Provides clear applications with recommendation
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