Predicting Recidivism Using Survival by Peter Schmidt (11 results)
Language: English
Published by Springer, 1988
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
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Language: English
Published by Springer, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
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Language: English
Published by Springer New York, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
- Softcover
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Language: English
Published by Springer, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
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Condition: New. pp. 192.
Language: English
Published by Springer New York, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
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Paperback. Condition: Brand New. reprint edition. 185 pages. 9.25x6.10x0.50 inches. In Stock.
Language: English
Published by Springer New York, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
- Softcover
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Language: English
Published by Springer, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer, Springer Jul 2012, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Our interest in the statistical modeling of data on the timing of recidivism began in the mid 1970s when we were both junior members of the eco nomics department at the University of North Carolina. At that time, methods of analyzin…g qualitative and limited variables were being developed rapidly in the econometric literature, and we became interested in finding a suitable application for these new methods. Data on the timing of recidivism offered unique and interesting statistical challenges, such as skewness of the distribution and the presence of censoring. Being young and foolish, we decided it would be fun to try something 'really' difficult. And, being young and ignorant, we were blissfully unaware of the con current developments in the statistical modeling of survival times that were then appearing in the biostatistics, operations research, and criminological literatures. In the course of some earlier research, we had learned that the North Carolina Department of Correction had an unusually well-developed data base on their inmates. We approached the Department and asked if they would be interested in working with us to develop models that would predict when their former charges would return to their custody. They agreed because they were interested in using such models to evaluate rehabilitative programs and alternative prison management systems and to help project future prison populations. 192 pp. Englisch.
Language: English
Published by Springer, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
- Softcover
- Print on Demand
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Condition: New. Print on Demand pp. 192 6 Figures.
Language: English
Published by Springer, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
- Softcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. 192.
Language: English
Published by Springer, Humana Jul 2012, 2012
Series: Research in Criminology, Book 2 of 17. Book 2 of 17 - Research in Criminology
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Our interest in the statistical modeling of data on the timing of recidivism began in the mid 1970s when we were both junior members of the eco nomics department at the University of North Carolina. At that time, methods of analyzing qu…alitative and limited variables were being developed rapidly in the econometric literature, and we became interested in finding a suitable application for these new methods. Data on the timing of recidivism offered unique and interesting statistical challenges, such as skewness of the distribution and the presence of censoring. Being young and foolish, we decided it would be fun to try something 'really' difficult. And, being young and ignorant, we were blissfully unaware of the con current developments in the statistical modeling of survival times that were then appearing in the biostatistics, operations research, and criminological literatures. In the course of some earlier research, we had learned that the North Carolina Department of Correction had an unusually well-developed data base on their inmates. We approached the Department and asked if they would be interested in working with us to develop models that would predict when their former charges would return to their custody. They agreed because they were interested in using such models to evaluate rehabilitative programs and alternative prison management systems and to help project future prison populations.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch.
