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Theory of Probability and Mathematical Statistics
About testing of mixed traffic hypothesis
O. I. Sidorovaa, L. V. Syslovb, Yu. S. Khokhlovb a Tver State University, Tver
b Lomonosov Moscow State University, Moscow
Abstract:
This article proposes some test for presence in traffic two different independent components with a single Hurst parameter H. We use α-stable Levy motion and fractal Brownian motion as models for α- and β-components respectively. The test statistic is based on frequency-scale sum of logarithms of the wavelet-coefficients absolute values and asymptotically converge to a normal distribution under null (β-traffic) and alternative (α+β-traffic) hypothesis.
Keywords:
long-range dependence, heavy-tailed distributions, fractal brownian noise, α-stable Lévy motion, Hurst parameter, wavelet decomposition.
Received: 03.12.2019 Revised: 20.12.2019
Citation:
O. I. Sidorova, L. V. Syslov, Yu. S. Khokhlov, “About testing of mixed traffic hypothesis”, Vestnik TVGU. Ser. Prikl. Matem. [Herald of Tver State University. Ser. Appl. Math.], 2019, no. 4, 27–38
Linking options:
https://www.mathnet.ru/eng/vtpmk544 https://www.mathnet.ru/eng/vtpmk/y2019/i4/p27
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Abstract page: | 978 | Full-text PDF : | 789 | References: | 656 |
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