The Source for Crime and Justice Data

Assessing the predictive utility of logistic regression, classification and regression tree, chi-squared automatic interaction detection, and neural network models in predicting inmate misconduct

Citation

The following citation is from the ICPSR Bibliography of Data-related Literature:

Ngo, Fawn T.Govindu, RamakrishnaAgarwal, Anurag . Mar 2015. Assessing the predictive utility of logistic regression, classification and regression tree, chi-squared automatic interaction detection, and neural network models in predicting inmate misconduct. American Journal of Criminal Justice. 40, (1), 47-74. doi:10.1007/s12103-014-9246-6

Full Text: DOI WorldCat Google Scholar
Export Citation: RIS EndNote XML

Related Studies

This publication is related to the following dataset(s):