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Estimate of the Parameter of Unextendable Random Dead Time in a Recurrent Generalized Asynchronous Flow of Physical Events

  • MATHEMATICAL PROCESSING OF PHYSICS EXPERIMENTAL DATA
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Russian Physics Journal Aims and scope

A recurrent generalized asynchronous flow of events (generalized MMPP flow) is considered which represents a widespread mathematical model of the flow of elementary particles and information requests in telecommunication and computer networks and belongs to the class of double stochastic flows of events. The functioning of the flow is considered under the conditions of a random unextendable dead time distributed uniformly over the interval [0, T*]. The dead time parameter T* is estimated by the method of moments. The results of statistical experiments are presented.

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Authors and Affiliations

  1. National Research Tomsk State University, Tomsk, Russia

    L. A. Nezhel’skaya & A. A. Pershina

Authors
  1. L. A. Nezhel’skaya
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  2. A. A. Pershina
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Correspondence to L. A. Nezhel’skaya.

Additional information

Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Fizika, No. 1, pp. 88–93, January, 2020.

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Nezhel’skaya, L.A., Pershina, A.A. Estimate of the Parameter of Unextendable Random Dead Time in a Recurrent Generalized Asynchronous Flow of Physical Events. Russ Phys J 63, 99–104 (2020). https://doi.org/10.1007/s11182-020-02007-5

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  • DOI: https://doi.org/10.1007/s11182-020-02007-5

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