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...

Descripción completa

Guardado en:  
Detalles Bibliográficos
Autor principal: Wai-Yin Wan (Autor)
Tipo de documento: Electrónico Libro
Lenguaje:Inglés
Acceso en línea: Volltext (kostenfrei)
Verificar disponibilidad: HBZ Gateway
Palabras clave:
Research