EconPapers    
Economics at your fingertips  
 

Using offender crime scene behavior to link stranger sexual assaults: A comparison of three statistical approaches

M. Tonkin, T. Pakkanen, J. Sirén, C. Bennell, J. Woodhams, A. Burrell, H. Imre, J.M. Winter, E. Lam, G. ten Brinke, M. Webb, G.N. Labuschagne, L. Ashmore-Hills, J.J. van der Kemp, S. Lipponen, L. Rainbow, C.G. Salfati and P. Santtila

Journal of Criminal Justice, 2017, vol. 50, issue C, 19-28

Abstract: This study compared the utility of different statistical methods in differentiating sexual crimes committed by the same person from sexual crimes committed by different persons.

Keywords: Crime linkage; Comparative case analysis; Bayesian analysis; Logistic regression; Classification tree analysis; Stranger sexual assault (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047235217300697
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jcjust:v:50:y:2017:i:c:p:19-28

DOI: 10.1016/j.jcrimjus.2017.04.002

Access Statistics for this article

Journal of Criminal Justice is currently edited by Matthew DeLisi

More articles in Journal of Criminal Justice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jcjust:v:50:y:2017:i:c:p:19-28