000 | 02939nam a22004815i 4500 | ||
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001 | vtls000542435 | ||
003 | RU-ToGU | ||
005 | 20210922082539.0 | ||
007 | cr nn 008mamaa | ||
008 | 160915s2014 gw | s |||| 0|eng d | ||
020 |
_a9783319031859 _9978-3-319-03185-9 |
||
024 | 7 |
_a10.1007/978-3-319-03185-9 _2doi |
|
035 | _ato000542435 | ||
040 |
_aSpringer _cSpringer _dRU-ToGU |
||
050 | 4 | _aHV6001-7220.5 | |
072 | 7 |
_aJKV _2bicssc |
|
072 | 7 |
_aSOC004000 _2bisacsh |
|
082 | 0 | 4 |
_a364 _223 |
100 | 1 |
_aPease, Ken. _eauthor. _9449398 |
|
245 | 1 | 0 |
_aUsing Modeling to Predict and Prevent Victimization _helectronic resource _cby Ken Pease, Andromachi Tseloni. |
260 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014. |
||
300 |
_aVIII, 80 p. 11 illus. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 1 |
_aSpringerBriefs in Criminology, _x2192-8533 ; _v13 |
|
505 | 0 | _aIntroduction -- Crime Concentration -- Preventing Repeat Victimization -- Predicting Frequent Victimization -- Preventing Recurring Victimization -- Conclusions. | |
520 | _aThis 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. | ||
650 | 0 |
_asocial sciences. _9303016 |
|
650 | 0 |
_aStatistics. _9124796 |
|
650 | 0 |
_aCriminology. _9296083 |
|
650 | 1 | 4 |
_aSocial Sciences. _9303016 |
650 | 2 | 4 |
_aCriminology & Criminal Justice. _9301323 |
650 | 2 | 4 |
_aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law. _9303278 |
700 | 1 |
_aTseloni, Andromachi. _eauthor. _9449399 |
|
710 | 2 |
_aSpringerLink (Online service) _9143950 |
|
773 | 0 | _tSpringer eBooks | |
830 | 0 |
_aSpringerBriefs in Criminology, _9444688 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-03185-9 |
912 | _aZDB-2-SHU | ||
999 | _c400712 |