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Generalized approach to Hurst exponent estimating by time series

Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)

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Title Generalized approach to Hurst exponent estimating by time series
 
Creator Kirichenko, L.
Radivilova, T.
Bulakh, V.
 
Subject fractal analysis
short time series
Hurst exponen
 
Description This paper presents a generalized approach to the fractal analysis of self-similar random processes by short time series. Several stages of the fractal analysis are proposed. Preliminary time series analysis includes the removal of short-term dependence, the identification of true long-term dependence and hypothesis test on the existence of a self-similarity property. Methods of unbiased interval estimation of the Hurst exponent in cases of stationary and non-stationary time series are discussed. Methods of estimate refinement are proposed. This approach is applicable to the study of self-similar time series of different nature.
 
Date 2018-06-04T12:24:26Z
2018-06-04T12:24:26Z
2018
 
Type Article
 
Identifier Kirichenko L. Generalized approach to Hurst exponent estimating by time series / Lyudmyla Kirichenko, Tamara Radivilova, Vitalii Bulakh // Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska, 2018, Volume 8, No. 1, pp.28-31
2083-0157
http://openarchive.nure.ua/handle/document/5772
 
Language en
 
Relation 8 (1);