Titlebook: Singular Spectrum Analysis for Time Series; Nina Golyandina,Anatoly Zhigljavsky Book 20131st edition The Author(s) 2013 data analysis.fore

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n was done primarily in terms of content, so thatthe book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors..

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Nina Golyandina,Anatoly Zhigljavsky occur when the coronary circulation is abruptly or progressively interrupted and a more accurate correlation of these ionic changes to the associated metabolic, electrical, and mechanical changes. As is usually the case, each new observation has served to bring into sharp focus the limits of our un

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Nina Golyandina,Anatoly Zhigljavskyn Planbarkeit und Risiken werden reduziert. Das Projektergebnis entspricht den Anforderungen und unterstütztdas Business in optimaler Art und Weise.978-3-642-32831-2Series ISSN 1439-5428 Series E-ISSN 2522-0667

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Book 20131st editioniate statistics, multivariate geometry, dynamical systems and signal processing. SSA seeks to decompose the original series into a sum of a small number of interpretable components such as trend, oscillatory components and noise. It is based on the singular value decomposition of a specific matrix c

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