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Study of the Stationarity of Random Time Series Using the Principle of the Information-Divergence Minimum

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Radiophysics and Quantum Electronics Aims and scope

Using the theoretic-information approach and the criterion of the information-divergence minimum in the Kullback–Leibler metric, we propose a new algorithm for checking the time series for stationarity in a broad sense. We consider an example of realizing this algorithm, study its dynamic characteristics, and give recommendations on its use under conditions of small samples.

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Correspondence to V.V. Savchenko.

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Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Radiofizika, Vol. 60, No. 1, pp. 89–96, January 2017.

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Savchenko, V. Study of the Stationarity of Random Time Series Using the Principle of the Information-Divergence Minimum. Radiophys Quantum El 60, 81–87 (2017). https://doi.org/10.1007/s11141-017-9778-y

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  • DOI: https://doi.org/10.1007/s11141-017-9778-y

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