On Error Rate Estimation In Nonparametric Classification
Login Help Contact Us About Access You are not currently logged in. Access your personal account or get JSTOR access through your library or other institution: login Log in to your personal account or through your institution. If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader. Statistica Sinica Vol. 18, No. 3, July 2008 ON ERROR-RATE ESTIMA... ON ERROR-RATE ESTIMATION IN NONPARAMETRIC CLASSIFICATION Anil K. Ghosh and Peter Hall Statistica Sinica Vol. 18, No. 3 (July 2008), pp. 1081-1100 Published by: Institute of Statistical Science, Academia Sinica Stable URL: http://www.jstor.org/stable/24308531 Page Count: 20 Read Online (Free) Subscribe ($19.50) Cite this Item Cite This Item Copy Citation Export Citation Export to RefWorks Export a RIS file (For EndNote, ProCite, Reference Manager, Zotero…) Export a Text file (For BibTex) Note: Always review your references and make any necessary corrections before using. Pay attention to names, capitalization, and dates. × Close Overlay Journal Info Statistica Sinica Coverage: 1991-2014 (Vol. 1, No. 1 - Vol. 24, No. 4) Moving Wall Moving Wall: 1 year (What is the moving wall?) Moving Wall The "moving wall" represents the time period between the last issue available in JSTOR and the most recently published issue of a journal. Moving walls are generally represented in years. In rare instances, a publisher has elected to have a "zero" moving wall, so their current issues are available in JSTOR shortly after publication. Note: In calculating the moving wall, the current year is not counted. For example, if the current year is 2008 and a journal has a 5 year moving wall, articles from the year 2002 are available. Terms Related to the Moving Wall Fixed walls: Journals with no new volumes being added to the archive. Absorbed: Journals that are combined with another title. Complete: Journals
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loginOther institution loginHelpJournalsBooksRegisterSign inHelpcloseSign in using your ScienceDirect credentialsUsernamePasswordRemember meForgotten username or password?Sign in via your institutionOpenAthens loginOther institution login Download full text in PDF Article Article + other articles in this issue Loading... Export You have http://www.sciencedirect.com/science/article/pii/0898122186900787 selected 1 citation for export. Help Direct export Save to Mendeley Save to RefWorks Export file Format RIS (for EndNote, ReferenceManager, ProCite) BibTeX Text Content Citation Only Citation and Abstract Export Advanced search Close This document does not have an outline. JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Computers & Mathematics with Applications on error Volume 12, Issue 2, Part A, February 1986, Pages 253-260 The robust estimation of classification error rates Author links open the overlay panel. Numbers correspond to the affiliation list which can be exposed by using the show more link. Opens overlay James D. Knoke Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27514, U.S.A. Available online 4 September 2002 Show more doi:10.1016/0898-1221(86)90078-7 on error rate Get rights and content Under an Elsevier user license Open Archive AbstractRecent work on robust error rate estimation in classification analysis is summarized. First, the perspective for the error rate estimation problem is established, and the parameters that are referred to as error rates are described. Next, the bases for comparison of error rate estimators are reviewed and a mean-square error criterion recommended. Then several approaches to robust error rate estimation are introduced. Finally, recommendations for applications based on available evaluations of robust estimators are made, and important unresolved issues are identified. Download full text in PDF References 1. J.A. Anderson Logistic discrimination with medical applications T. Cacoullos (Ed.), Discriminant Analysis and Applications, Academic Press, New York (1973), pp. 1–15 2. J.A. Anderson Quadratic logistic discrimination Biometrika, 62 (1975), pp. 149–154 3. T.W. Anderson Asymptotic evaluation of the probabilities of misclassification by linear discriminant functions T. Cacoullos (Ed.), Discriminant Analysis and Applications, Academic Press, New York (1973), pp. 17–35 4. V.L. Brailovskiy, A.L. Lunts The multiparameter recognition problem and its solution Eng. Cybern. No. 1 (1964), pp. 13–22 5. S. Chattergee, S. Chattergee Estimation of misclassification probabilities b
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