Forecasting prison populations using sentencing and arrest data
Aim: To develop a method for forecasting the NSW remand and sentenced prisoner populations.Method: Autoregressive Integrated Moving Average (ARIMA) models with other time series as input variables were employed to estimate and forecast changes in the remand and sentenced prisoner populations. Models...
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| Format: | Electronic Book |
| Language: | English |
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