APA (7th ed.) Citation

Ngo, F. T., Agarwal, A., & Govindu, R. (2018). Traditional regression methods versus the utility of machine learning techniques in forecasting inmate misconduct in the United States: An exploration of the prospects of the techniques. International journal of criminal justice sciences, 13(2), 420-437. doi:10.5281/zenodo.2657668

Chicago Style (17th ed.) Citation

Ngo, Fawn T., Anurag Agarwal, and Ramakrishna Govindu. "Traditional Regression Methods Versus the Utility of Machine Learning Techniques in Forecasting Inmate Misconduct in the United States: An Exploration of the Prospects of the Techniques." International Journal of Criminal Justice Sciences 13, no. 2 (2018): 420-437. https://doi.org/10.5281/zenodo.2657668.

MLA (9th ed.) Citation

Ngo, Fawn T., et al. "Traditional Regression Methods Versus the Utility of Machine Learning Techniques in Forecasting Inmate Misconduct in the United States: An Exploration of the Prospects of the Techniques." International Journal of Criminal Justice Sciences, vol. 13, no. 2, 2018, pp. 420-437, https://doi.org/10.5281/zenodo.2657668.