Titlebook: Singular Spectrum Analysis with R; Nina Golyandina,Anton Korobeynikov,Anatoly Zhiglja Book 2018 Springer-Verlag GmbH Germany, part of Spri

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SSA for Multivariate Time Series,ivariate SSA, shortly MSSA. The principal idea of MSSA is the same as for the case of one-dimensional time with the difference lying in the way of constructing of the trajectory matrix. The aim of MSSA is to take into consideration the combined structure of a multivariate series to obtain more accurate results.

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978-3-662-57378-5Springer-Verlag GmbH Germany, part of Springer Nature 2018

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Singular Spectrum Analysis with R978-3-662-57380-8Series ISSN 2197-5736 Series E-ISSN 2197-5744

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Nina Golyandina,Anton Korobeynikov,Anatoly ZhigljaPresents an up-to-date overview of Singular Spectrum Analysis (SSA) methodology.Demonstrates how SSA can be used for the analysis of time series and digital images.Provides tutorials on the Rssa packa

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https://doi.org/10.1007/978-3-662-57380-837M10, 68U10; forecasting; signal processing; singular spectrum analysis; singular value decomposition; t

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Nina Golyandina,Anton Korobeynikov,Anatoly Zhigljavskynces the time course and magnitude of the intracellular calcium transient. In addition to . contributing to the rise in intracellular calcium by means of its sarcolemmal calcium flux, I. may contribute . as the rise in intracellular calcium associated with the calcium flux triggers additional calciu