2014
DOI: 10.12988/ams.2014.49740
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Statistical characteristics of the magnitude and location of the greatest maximum of Markov random process with piecewise constant drift and diffusion coefficients

Abstract: We considered a method for the determining of the statistical characteristics of the magnitude, location and first-passage time of Markov random process, with piecewise constant drift and diffusion coefficients. We found the closed analytical expressions for distribution functions of the specified random variables. We also analyzed the asymptotic behavior of probability density and ordinary moments of location of the greatest maximum of Markov random process and showed their coincidence with some known results… Show more

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Cited by 9 publications
(17 citation statements)
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“…According to Eq. (18), the random process is Markov one with drift and diffusion coefficients    Therefore, we can write down [7,8] …”
Section: Duration Adaptation Algorithmmentioning
confidence: 99%
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“…According to Eq. (18), the random process is Markov one with drift and diffusion coefficients    Therefore, we can write down [7,8] …”
Section: Duration Adaptation Algorithmmentioning
confidence: 99%
“…Here is a solution of the direct Fokker-PlanckKolmogorov equation [7][8][9]  with boundary conditions and starting condition  Applying a reflection method with sign inversion, we find the solution of Eq. (22) with coefficients (20) separately for the cases and , as it is described in [7].…”
Section: mentioning
confidence: 99%
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