Using ARIMA models to predict prison populations

In this study a time-series model for predicting Louisiana's prison population was developed using the iterative Box-Jenkins modeling methodologyidentification, estimation, and diagnostic checking. The time-series forecasts were contrasted with results of regression models and an exponential sm...

Full description

Saved in:  
Bibliographic Details
Main Author: Lin, Bin-Shan (Author)
Contributors: MacKenzie, Doris Layton ; Gulledge, Thomas R.
Format: Electronic Article
Language:English
Published: 1986
In: Journal of quantitative criminology
Year: 1986, Volume: 2, Issue: 3, Pages: 251-264
Online Access: Volltext (lizenzpflichtig)
Volltext (lizenzpflichtig)
Journals Online & Print:
Drawer...
Check availability: HBZ Gateway
Keywords:
Time series
Box-Jenkins modeling
Prediction
Overcrowding
Prison Population
Forecasting
ARIMA models