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  <title>ЭБ Раздел:</title>
  <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/93209" />
  <subtitle />
  <id>https://elib.bsu.by:443/handle/123456789/93209</id>
  <updated>2026-04-21T14:10:47Z</updated>
  <dc:date>2026-04-21T14:10:47Z</dc:date>
  <entry>
    <title>Computer Data Analysis in Modeling and Optimization of Manufacturing Process Control System</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/94091" />
    <author>
      <name>Yakimov, A. I.</name>
    </author>
    <author>
      <name>Alkhovik, S. A.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/94091</id>
    <updated>2023-09-21T13:40:46Z</updated>
    <published>2007-01-01T00:00:00Z</published>
    <summary type="text">Заглавие документа: Computer Data Analysis in Modeling and Optimization of Manufacturing Process Control System
Авторы: Yakimov, A. I.; Alkhovik, S. A.
Аннотация: Software and Technological Package for Computer&#xD;
Simulation of Complex Systems BelSimage</summary>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Mixture Decomposition of Censored Pareto-II Density with Normal One by EM-Algorithm</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/94090" />
    <author>
      <name>Stepanov, V. S.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/94090</id>
    <updated>2023-09-21T13:40:46Z</updated>
    <published>2007-01-01T00:00:00Z</published>
    <summary type="text">Заглавие документа: Mixture Decomposition of Censored Pareto-II Density with Normal One by EM-Algorithm
Авторы: Stepanov, V. S.
Аннотация: We tackle a problem of decomposition of mixture of the censored Pareto-II&#xD;
density with Gaussian one having its mean value nearby the Pareto density mode.&#xD;
It was used the EM-algorithm that has been applied to Monte-Carlo sample by&#xD;
the mixture (1). The model can be useful to detect a Pareto-type signal under&#xD;
Gaussian noise in bioinformatics, economy.</summary>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Application of the Method of Information Decomposition for Revealing the Latent Periodicity in Financial Time Series</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/94089" />
    <author>
      <name>Rudenko, V. M.</name>
    </author>
    <author>
      <name>Turutina, V. P.</name>
    </author>
    <author>
      <name>Korotkov, E. V.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/94089</id>
    <updated>2023-09-21T13:40:46Z</updated>
    <published>2007-01-01T00:00:00Z</published>
    <summary type="text">Заглавие документа: Application of the Method of Information Decomposition for Revealing the Latent Periodicity in Financial Time Series
Авторы: Rudenko, V. M.; Turutina, V. P.; Korotkov, E. V.
Аннотация: In the given work results of search of the latent periodicity in financial time&#xD;
series are presented. For these purposes we used the method of information&#xD;
decomposition (ID) developed earlier for revealing periodicity in symbolical sequences.&#xD;
Application of this method to numerical rows became possible after&#xD;
conversion of numbers in symbols. It is shown, that the method of ID is more&#xD;
sensitive, than the classical approach applied to search of periodicity - Fourier&#xD;
analysis.</summary>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>On Evaluation of Statistical Regularities in Seismic Data</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/94088" />
    <author>
      <name>Nedel’ko, V. M.</name>
    </author>
    <author>
      <name>Stupina, T. A.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/94088</id>
    <updated>2023-09-21T13:40:46Z</updated>
    <published>2007-01-01T00:00:00Z</published>
    <summary type="text">Заглавие документа: On Evaluation of Statistical Regularities in Seismic Data
Авторы: Nedel’ko, V. M.; Stupina, T. A.
Аннотация: A method for short-term prediction of earthquakes based on Markov time scale&#xD;
is investigated. The results show that the noise added to a signal when sensors&#xD;
are placed on the ground dramatically weakens the predictability. Additionally,&#xD;
a method for testing the statistical dependency between earthquakes on neighbouring&#xD;
regions is proposed. This method uses a certain model of earthquake&#xD;
influence propagation.</summary>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </entry>
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