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Model-Based U.S. Prison Population Projections

https://doi.org/10.2307/3135036
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0047-2352(80)90056-2openalex-snapshot
Demographically disaggregated projections of prison populations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.2622783openalex-extracted
Generic Discrete-Event Simulation Model of a Prison
inferred← citeshttps://doi.org/10.1007/978-3-030-18195-6_17openalex-snapshot
Forecasting for Prisons and Jails
inferred← citeshttps://doi.org/10.1007/bf02354470openalex-snapshot
From Poisson to the present: Applying operations research to problems of crime and justice
inferred← citeshttps://doi.org/10.1016/s0927-0507(05)80088-xopenalex-snapshot
Chapter 7 Operations research in studying crime and justice: Its history and accomplishments
inferred← citeshttps://doi.org/10.1080/24751979.2022.2123746openalex-snapshot
The Cost of Recidivism: A Dynamic Systems Model to Evaluate the Benefits of a Restorative Reentry Program
inferred← citeshttps://doi.org/10.1177/0032885509349558openalex-snapshot
Projecting Felony Intakes to the Justice System
inferred← citeshttps://doi.org/10.1177/073401689301800102openalex-snapshot
Forecasting Models for Managing a Changing Inmate Population: Implications for Public Policy
inferred← citeshttps://doi.org/10.1287/opre.35.1.18openalex-snapshot
Prison Populations: A Projection Model
inferred← citeshttps://doi.org/10.1300/j407v10n04_01openalex-snapshot
Using Artificial Intelligence to Model Juvenile Recidivism Patterns
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