Predicting Recidivism Using Survival Models - 13 Angebote vergleichen

Lieferung aus: Vereinigte Staaten von Amerika, Versandkostenfrei nach: USA.
Von Händler/Antiquariat, Better World Books.
Springer. Used - Good. Former Library book. Shows some signs of wear, and may have some markings on the inside. 100% Money Back Guarantee. Shipped to over one million happy customers. Your purchase benefits world literacy!

Von Händler/Antiquariat, HPB-Dallas [54223947], Dallas, TX, U.S.A.
Item may show signs of shelf wear. Pages may include limited notes and highlighting. May include supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority.

Von Händler/Antiquariat, HPB-Dallas [54223947], Dallas, TX, U.S.A.
Item may show signs of shelf wear. Pages may include limited notes and highlighting. Includes supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority.

Lieferung aus: Niederlande, Direct beschikbaar.
bol.com.
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 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, S... 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 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. Productinformatie:Taal: Engels;Formaat: ePub met kopieerbeveiliging (DRM) van Adobe;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;Geschikt voor: Alle e-readers te koop bij bol.com (of compatible met Adobe DRM). Telefoons/tablets met Google Android (1.6 of hoger) voorzien van bol.com boekenbol app. PC en Mac met Adobe reader software;ISBN10: 1461237726;ISBN13: 9781461237723; Engels | Ebook | 2015.

Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: USA.
Von Händler/Antiquariat, Earthlight Books.
Springer. Hardcover. 0387965963 Good. Light to moderate shelf wear to covers/corners; satisfaction guaranteed. Hardcover lacking the Dust Jacket. Contains light to moderate highlighting, notes, underlining and/or other markings; satisfaction guaranteed. Earthlight Books is a family owned and operated, independent bookstore serving Walla Walla, Washington since 1973. . Good.

Lieferung aus: Kanada, in-stock.
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 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.

Lieferung aus: Niederlande, Vermoedelijk 4-6 weken.
bol.com.
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 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, S... 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 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.Taal: Engels;Gewicht: 425,00 gram;Verschijningsdatum: maart 1988;ISBN10: 0387965963;ISBN13: 9780387965963; Engelstalig | Hardcover | 1988.

Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Verandgebiet: DOM.
Von Händler/Antiquariat, 5Boros Books, NJ, SUMMIT, [RE:4].
Some may have high-lighting or writings, some are ex-library. Hard cover, 1988 ed.

Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen.
Von Händler/Antiquariat, colibris-usa.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen

Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, Paper Cavalier Deutschland.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen