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Preprints of the Keldysh Institute of Applied Mathematics, 2018, 113, 20 pp.
DOI: https://doi.org/10.20948/prepr-2018-113 (Mi ipmp2472) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Stationary point of significance level for non-stationary distribution functions

A. A. Kislitsyn, A. B. Kozlova, M. B. Korsakova, E. L. Masherov, Yu. N. Orlov
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DOI: https://doi.org/10.20948/prepr-2018-113
Abstract: Self-consistent stationary level of non-stationary time series is investigated. The various purposes of practical use of this statistics are discussed. The main problem is an evaluation of significance level of any sample statistics. Unlike the classical problem of stationary test of two samples, in the case under consideration one should construct an indicator to predict the change in the non-stationary regime. For example, we consider special predictor of an attack of epilepsy.
Keywords: stationary point, significance level, disorder indicator, electroencephalogram, epilepsy attack.
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Document Type: Preprint
Language: Russian
Citation: A. A. Kislitsyn, A. B. Kozlova, M. B. Korsakova, E. L. Masherov, Yu. N. Orlov, “Stationary point of significance level for non-stationary distribution functions”, Keldysh Institute preprints, 2018, 113, 20 pp.
Citation in format AMSBIB
\Bibitem{KisKozKor18}
\by A.~A.~Kislitsyn, A.~B.~Kozlova, M.~B.~Korsakova, E.~L.~Masherov, Yu.~N.~Orlov
\paper Stationary point of significance level for non-stationary distribution functions
\jour Keldysh Institute preprints
\yr 2018
\papernumber 113
\totalpages 20
\mathnet{http://mi.mathnet.ru/ipmp2472}
\crossref{https://doi.org/10.20948/prepr-2018-113}
\elib{https://elibrary.ru/item.asp?id=35042007}
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  • https://www.mathnet.ru/eng/ipmp/y2018/p113
    • This publication is cited in the following 1 articles:
    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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