A. A. Kislitsyn, “Software complex for statistical analysis of consistent stationary level of time-series”, Keldysh Institute preprints, 2020, 026, 22 pp.

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Preprints of the Keldysh Institute of Applied Mathematics, 2020, 026, 22 pp.
DOI: https://doi.org/10.20948/prepr-2020-26 (Mi ipmp2817)

Software complex for statistical analysis of consistent stationary level of time-series

A. A. Kislitsyn

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DOI: https://doi.org/10.20948/prepr-2020-26

Abstract: In this paper the numerical method of calculation of multidimensional disorder indicator for non-stationary time-series is constructed. The theorem of approximation for this indicator is proved. The program software for statistical analysis of consistent stationary level is constructed. The partial example of disorder as a epilepsy predictor of electroencephalogram data is presented.

Keywords: non-stationary time-series, disorder indicator, joining sample, consistent stationary level.

Funding agency	Grant number
Russian Science Foundation	19-71-30004

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Document Type: Preprint

Language: Russian

Citation: A. A. Kislitsyn, “Software complex for statistical analysis of consistent stationary level of time-series”, Keldysh Institute preprints, 2020, 026, 22 pp.

Citation in format AMSBIB

\Bibitem{Kis20}

\by A.~A.~Kislitsyn

\paper Software complex for statistical analysis of consistent stationary level of time-series

\jour Keldysh Institute preprints

\yr 2020

\papernumber 026

\totalpages 22

\mathnet{http://mi.mathnet.ru/ipmp2817}

\crossref{https://doi.org/10.20948/prepr-2020-26}

\elib{https://elibrary.ru/item.asp?id=42769544}

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https://www.mathnet.ru/eng/ipmp2817

https://www.mathnet.ru/eng/ipmp/y2020/p26

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

Препринты Института прикладной математики им. М. В. Келдыша РАН

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