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HKU Scholars Hub
Article . 2010
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Local asymptotic mininmax estimation of functionals of asymptotically normal sampling distribution

Local asymptotic minimax estimation of functionals of asymptotically normal sampling distributions
descriptionPublicationkeyboard_double_arrow_right Article , Conference object 06 Sep 2010 China (People's Republic of) Publisher:Springer US, New York, NY; Pleiades Publishing (Allerton Press), New York, NY; MAIK ``Nauka/Interperiodica'', Moscow
Authors: Lee, SMS;

handle: 10722/82706 , 10722/110145

Local asymptotic mininmax estimation of functionals of asymptotically normal sampling distribution

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
China (People's Republic of)
Related Organizations
Keywords

locally asymptotic minimax, sampling distribution, Asymptotic distribution theory in statistics, Asymptotic properties of nonparametric inference, Minimax procedures in statistical decision theory, smooth function model, functionals, maximum risk, bootstrap estimate, Nonparametric estimation, Edgeworth-type expansion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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