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Titlebook: Limit Theorems for Random Fields with Singular Spectrum; Nikolai Leonenko Book 1999 Springer Science+Business Media Dordrecht 1999 DEX.Mat

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发表于 2025-3-21 16:34:34 | 显示全部楼层 |阅读模式
书目名称Limit Theorems for Random Fields with Singular Spectrum
编辑Nikolai Leonenko
视频video
丛书名称Mathematics and Its Applications
图书封面Titlebook: Limit Theorems for Random Fields with Singular Spectrum;  Nikolai Leonenko Book 1999 Springer Science+Business Media Dordrecht 1999 DEX.Mat
出版日期Book 1999
关键词DEX; Mathematica; Statistica; Variance; average; boundary element method; correlation; equation; form; functi
版次1
doihttps://doi.org/10.1007/978-94-011-4607-4
isbn_softcover978-94-010-5947-3
isbn_ebook978-94-011-4607-4
copyrightSpringer Science+Business Media Dordrecht 1999
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发表于 2025-3-21 21:40:43 | 显示全部楼层
tems at a high abstraction level. The key issue to support RSA is to maintain the causal connection between the architecture and the system, ensuring that the architecture represents the current system, and the modifications on the architecture cause proper system changes. The main challenge here is
发表于 2025-3-22 03:40:02 | 显示全部楼层
Nikolai Leonenkoheir complexity and cost. The key in such architecture-based maintenance and evolution is to recover software architecture from existing systems. Almost all studies on architecture recovery focus on analyzing the source code and other documents. Such recovered software architecture can hardly captur
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Nikolai Leonenko up the limits of traditional software engineering methodologies and technologies as they are required to be used and updated almost real-time, so that users can interact and share the same applications over the internet as needed. As a consequence, we are expecting a major paradigm shift in softwar
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,Limit Theorems for Solutions of the Burgers’ Equation with Random Data, growth of molecular interfaces, and the formation of large scale quasi-Voronoi tesselation structures of self-gravitating matter in the late stages of the Universe (see, for example, Burgers (1974),Whitam (1974), Chorin (1975), Gurbator, Malachov and Saichev (1991), Kardar, Parisi and Zhang (1986),
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Statistical Problems for Random Fields with Singular Spectrum,iew). In particular, results of Adenstedt (1974), Samarov and Taqqu (1988), Yajima (1988,1991), Künsch, Beran and Hampel (1993), Dahlhaus (1995) indicate that the least square estimates (LSE) for the unknown mean and the regression coefficients of the polynomial regression in long-memory noise may s
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