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Computer Research and Modeling, 2012, Volume 4, Issue 3, Pages 563–568
DOI: https://doi.org/10.20537/2076-7633-2012-4-3-563-568
(Mi crm510)
 

This article is cited in 1 scientific paper (total in 1 paper)

MODELS IN PHYSICS AND TECHNOLOGY

On one particular model of a mixture of the probability distributions in the radio measurements

A. A. Kolchev, A. E. Nedopekin

Mari State University, Faculty of Phisics and Mathematics, MarSU, 1 Lenin sq., Yoshkar-Ola, 424001, Russia
Full-text PDF (244 kB) Citations (1)
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Abstract: This paper presents a model mixture of probability distributions of signal and noise. Typically, when analyzing the data under conditions of uncertainty it is necessary to use nonparametric tests. However, such an analysis of nonstationary data in the presence of uncertainty on the mean of the distribution and its parameters may be ineffective. The model involves the implementation of a case of a priori non-parametric uncertainty in the processing of the signal at a time when the separation of signal and noise are related to different general population, is feasible.
Keywords: statistical uncertainty, model, selection of signal.
Received: 20.06.2012
Document Type: Article
UDC: 621.371.25, 550.388.2
Language: Russian
Citation: A. A. Kolchev, A. E. Nedopekin, “On one particular model of a mixture of the probability distributions in the radio measurements”, Computer Research and Modeling, 4:3 (2012), 563–568
Citation in format AMSBIB
\Bibitem{KolNed12}
\by A.~A.~Kolchev, A.~E.~Nedopekin
\paper On one particular model of a mixture of the probability distributions in the radio measurements
\jour Computer Research and Modeling
\yr 2012
\vol 4
\issue 3
\pages 563--568
\mathnet{http://mi.mathnet.ru/crm510}
\crossref{https://doi.org/10.20537/2076-7633-2012-4-3-563-568}
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  • https://www.mathnet.ru/eng/crm/v4/i3/p563
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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    Abstract page:61
    Full-text PDF :35
    References:21
     
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