找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 50893|回復(fù): 39
樓主
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

書目名稱Using Modeling to Predict and Prevent Victimization影響因子(影響力)




書目名稱Using Modeling to Predict and Prevent Victimization影響因子(影響力)學(xué)科排名




書目名稱Using Modeling to Predict and Prevent Victimization網(wǎng)絡(luò)公開度




書目名稱Using Modeling to Predict and Prevent Victimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Using Modeling to Predict and Prevent Victimization被引頻次




書目名稱Using Modeling to Predict and Prevent Victimization被引頻次學(xué)科排名




書目名稱Using Modeling to Predict and Prevent Victimization年度引用




書目名稱Using Modeling to Predict and Prevent Victimization年度引用學(xué)科排名




書目名稱Using Modeling to Predict and Prevent Victimization讀者反饋




書目名稱Using Modeling to Predict and Prevent Victimization讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:46:05 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:40:58 | 只看該作者
https://doi.org/10.1007/978-3-319-03185-9Crime Prediction; Crime Prevention; Police Crime Response; Repeat Victimization; Victim Characteristics;
地板
發(fā)表于 2025-3-22 05:19:48 | 只看該作者
5#
發(fā)表于 2025-3-22 10:51:19 | 只看該作者
6#
發(fā)表于 2025-3-22 15:56:27 | 只看該作者
7#
發(fā)表于 2025-3-22 20:43:01 | 只看該作者
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.
8#
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
9#
發(fā)表于 2025-3-23 05:26:30 | 只看該作者
10#
發(fā)表于 2025-3-23 06:24:46 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 11:14
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
黄龙县| 湾仔区| 双江| 宜都市| 奉节县| 密云县| 洪洞县| 临朐县| 太仓市| 清丰县| 沅江市| 隆子县| 达孜县| 柞水县| 浪卡子县| 金平| 永城市| 太湖县| 扎兰屯市| 陵川县| 财经| 紫云| 边坝县| 大邑县| 新沂市| 汽车| 临邑县| 满城县| 邵阳县| 廊坊市| 辽中县| 普安县| 伊金霍洛旗| 遵义县| 云霄县| 京山县| 福海县| 偏关县| 广丰县| 陆川县| 牟定县|