Admissibility in Discrete and Continuous Invariant Nonparametric Estimation Problems and in their Multinomial Analogs Author(s): Lawrence D. Brown Source: The Annals of Statistics, Vol. 16, No. 4 (Dec., 1988), pp. 1567-1593 Published by: Institute of Mathematical Statistics Stable URL: http://www.jstor.org/stable/2241780 Accessed: 25/03/2010 15:34 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at http://www.jstor.org/action/showPublisher?publisherCode=ims. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission. JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Institute of Mathematical Statistics is collaborating with JSTOR to digitize, preserve and extend access to The Annals of Statistics. http://www.jstor.org
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Admissibility in Discrete and Continuous Invariant Nonparametric Estimation Problems andin their Multinomial AnalogsAuthor(s): Lawrence D. BrownSource: The Annals of Statistics, Vol. 16, No. 4 (Dec., 1988), pp. 1567-1593Published by: Institute of Mathematical StatisticsStable URL: http://www.jstor.org/stable/2241780Accessed: 25/03/2010 15:34
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available athttp://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unlessyou have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and youmay use content in the JSTOR archive only for your personal, non-commercial use.
Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained athttp://www.jstor.org/action/showPublisher?publisherCode=ims.
Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printedpage of such transmission.
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range ofcontent in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new formsof scholarship. For more information about JSTOR, please contact [email protected].
Institute of Mathematical Statistics is collaborating with JSTOR to digitize, preserve and extend access to TheAnnals of Statistics.
http://www.jstor.org
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