menu
{ "item_title" : "Using Modeling to Predict and Prevent Victimization", "item_author" : [" Ken Pease", "Andromachi Tseloni "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/903/184/3319031848_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Using Modeling to Predict and Prevent Victimization|Ken Pease

Using Modeling to Predict and Prevent Victimization

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783319031842
  • ISBN-10: 3319031848
  • Publisher: Springer
  • Publish Date: January 2014
  • Dimensions: 9.21 x 6.14 x 0.19 inches
  • Shipping Weight: 0.3 pounds
  • Page Count: 80

Related Categories

You May Also Like...

    1

BAM Customer Reviews