Predicting criminal recidivism: A comparison of neural network models with statistical methods
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Schmidt, Peter & Witte, Ann Dryden, 1989.
"Predicting criminal recidivism using 'split population' survival time models,"
Journal of Econometrics,
Elsevier, vol. 40(1), pages 141-159, January.
- Peter Schmidt & Ann Dryden Witte, 1987. "Predicting Criminal Recidivism Using "Split Population" Survival Time Models," NBER Working Papers 2445, National Bureau of Economic Research, Inc.
- Greene, Michael A. & Hoffman, Peter B. & Beck, James L., 1994. "The mean cost rating (MCR) is Somers' D: A methodological note," Journal of Criminal Justice, Elsevier, vol. 22(1), pages 63-69.
- Kar Yan Tam & Melody Y. Kiang, 1992. "Managerial Applications of Neural Networks: The Case of Bank Failure Predictions," Management Science, INFORMS, vol. 38(7), pages 926-947, July.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Palocsay, Susan W. & Wang, Ping & Brookshire, Robert G., 2000. "Predicting criminal recidivism using neural networks," Socio-Economic Planning Sciences, Elsevier, vol. 34(4), pages 271-284, December.
- Brendan Cushing-Daniels, 2005. "Even the errors discrimenate: How the split-population model of criminal recidivism makes justice even less colorblind," The Review of Black Political Economy, Springer;National Economic Association, vol. 33(1), pages 25-39, September.
More about this item
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jcjust:v:24:y:1996:i:3:p:227-240. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/jcrimjus .