Download

Download eBook for Free

FormatFile SizeNotes
PDF file 0.9 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Purchase

Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback46 pages $23.00 $18.40 20% Web Discount

A relatively simple, analytical model of court scheduling is introduced and analyzed. The model is based on a representation of the process by which cases not disposed of at any appearance are scheduled for another appearance. This representation, although deterministic, possesses many of the important properties of court operations. Using this model, analytical expressions are derived for the number of cases scheduled to appear in each portion of the court each day, the steady-state calendar size in each part, the sizes of future calendars and case backlogs, and the average duration of and the average number of appearances made by each case. In addition, the effect of a dependence of certain processing parameters on the number of cases scheduled is investigated.

This report is part of the RAND Corporation Paper series. The paper was a product of the RAND Corporation from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.