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...
| 1. VerfasserIn: | |
|---|---|
| Beteiligte: | ; |
| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Veröffentlicht: |
1986
|
| In: |
Journal of quantitative criminology
Jahr: 1986, Band: 2, Heft: 3, Seiten: 251-264 |
| Online-Zugang: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
| Journals Online & Print: | Lade...
|
| Verfügbarkeit prüfen: | HBZ Gateway |
| Schlagwörter: |
MARC
| LEADER | 00000naa a22000002c 4500 | ||
|---|---|---|---|
| 001 | 1767143079 | ||
| 003 | DE-627 | ||
| 005 | 20210817061636.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210817s1986 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/BF01066529 |2 doi | |
| 035 | |a (DE-627)1767143079 | ||
| 035 | |a (DE-599)KXP1767143079 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 2,1 |2 ssgn | ||
| 100 | 1 | |a Lin, Bin-Shan |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Using ARIMA models to predict prison populations |
| 264 | 1 | |c 1986 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a 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 smoothing model. The results indicate that the time-series model is the superior model as indicated by the usual measures of predictive accuracy. When compared with actual data the predictions appeared sufficiently adequate to meet the needs of the correctional system for short-term planning. | ||
| 650 | 4 | |a Time series | |
| 650 | 4 | |a Box-Jenkins modeling | |
| 650 | 4 | |a Prediction | |
| 650 | 4 | |a Overcrowding | |
| 650 | 4 | |a Prison Population | |
| 650 | 4 | |a Forecasting | |
| 650 | 4 | |a ARIMA models | |
| 700 | 1 | |a MacKenzie, Doris Layton |e VerfasserIn |4 aut | |
| 700 | 1 | |a Gulledge, Thomas R. |e VerfasserIn |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of quantitative criminology |d New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 |g 2(1986), 3, Seite 251-264 |h Online-Ressource |w (DE-627)320578003 |w (DE-600)2017241-2 |w (DE-576)104082321 |x 1573-7799 |7 nnas |
| 773 | 1 | 8 | |g volume:2 |g year:1986 |g number:3 |g pages:251-264 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/BF01066529 |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u http://link.springer.com/openurl/pdf?id=doi:10.1007/BF01066529 |x Verlag |z lizenzpflichtig |3 Volltext |
| 935 | |a mkri | ||
| 951 | |a AR | ||
| ELC | |a 1 | ||
| LOK | |0 000 xxxxxcx a22 zn 4500 | ||
| LOK | |0 001 3969411033 | ||
| LOK | |0 003 DE-627 | ||
| LOK | |0 004 1767143079 | ||
| LOK | |0 005 20210817061636 | ||
| LOK | |0 008 210817||||||||||||||||ger||||||| | ||
| LOK | |0 035 |a (DE-2619)KrimDok#2021-08-16#1633FAC237E942378F43A75B3455429822E01546 | ||
| LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
| LOK | |0 092 |o n | ||
| LOK | |0 852 |a DE-2619 | ||
| LOK | |0 852 1 |9 00 | ||
| LOK | |0 935 |a zota | ||
| ORI | |a SA-MARC-krimdoka001.raw | ||