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Titlebook: Nonparametric Goodness-of-Fit Testing Under Gaussian Models; Yu. I. Ingster,Irina A. Suslina Book 2003 Springer Science+Business Media New

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书目名称Nonparametric Goodness-of-Fit Testing Under Gaussian Models
编辑Yu. I. Ingster,Irina A. Suslina
视频video
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Nonparametric Goodness-of-Fit Testing Under Gaussian Models;  Yu. I. Ingster,Irina A. Suslina Book 2003 Springer Science+Business Media New
出版日期Book 2003
关键词Likelihood; Probability theory; differential equation; mathematical statistics; minimum
版次1
doihttps://doi.org/10.1007/978-0-387-21580-8
isbn_softcover978-0-387-95531-5
isbn_ebook978-0-387-21580-8Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer Science+Business Media New York 2003
The information of publication is updating

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发表于 2025-3-21 23:29:49 | 显示全部楼层
Gaussian Asymptotics for Power and Besov Norms,(3.110), (3.122)); we denote, . = (.), . = (.). We consider the general cases . for the rate asymptotics problem and add some additional constraints on ., . for the sharp asymptotics problem. We assume the nonempty conditions from Corollary 3.15 and we suppose . → ∞, . → ∞.
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Nonparametric Goodness-of-Fit Testing Under Gaussian Models
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High-Dimensional Signal Detection,In this chapter we would like to demonstrate some new phenomena in minimax nonparametric hypothesis testing problems.
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