Download
Download Free Electronic Document
| Format | File Size | Notes |
|---|---|---|
| PDF file | 0.9 MB | Use Adobe Acrobat Reader version 10 or higher for the best experience. |
Purchase
Purchase Print Copy
| Format | List Price | Price | |
|---|---|---|---|
| Add to Cart | Paperback21 pages | $20.00 | $16.00 20% Web Discount |
What statistical techniques are most useful for identifying outliers in samples and in regression analysis? After considering the practical benefits of locating exceptional performers and reviewing a variety of statistical methods for doing so, this paper stresses the merits of several new techniques based on ideas of robust estimation. Although they have the disadvantage of eschewing some traditional and intuitive concepts, these techniques also eschew traditional and unfulfilled assumptions that have often hampered the application of earlier methods to real-life datasets. Throughout the paper, emphasis is given to the use of statistical techniques in the evaluation of public policies, with particular attention to education.
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.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
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.