ЭБ Коллекция:http://elib.bsu.by:80/handle/123456789/940262019-10-16T17:48:41Z2019-10-16T17:48:41ZComputer Data Analysis in Modeling and Optimization of Manufacturing Process Control SystemYakimov, A. I.Alkhovik, S. A.http://elib.bsu.by:80/handle/123456789/940912016-09-29T10:09:40Z2007-01-01T00:00:00ZЗаглавие 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
Simulation of Complex Systems BelSimage2007-01-01T00:00:00ZMixture Decomposition of Censored Pareto-II Density with Normal One by EM-AlgorithmStepanov, V. S.http://elib.bsu.by:80/handle/123456789/940902016-09-29T10:23:04Z2007-01-01T00:00:00ZЗаглавие 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
density with Gaussian one having its mean value nearby the Pareto density mode.
It was used the EM-algorithm that has been applied to Monte-Carlo sample by
the mixture (1). The model can be useful to detect a Pareto-type signal under
Gaussian noise in bioinformatics, economy.2007-01-01T00:00:00ZApplication of the Method of Information Decomposition for Revealing the Latent Periodicity in Financial Time SeriesRudenko, V. M.Turutina, V. P.Korotkov, E. V.http://elib.bsu.by:80/handle/123456789/940892016-09-29T10:03:13Z2007-01-01T00:00:00ZЗаглавие 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
series are presented. For these purposes we used the method of information
decomposition (ID) developed earlier for revealing periodicity in symbolical sequences.
Application of this method to numerical rows became possible after
conversion of numbers in symbols. It is shown, that the method of ID is more
sensitive, than the classical approach applied to search of periodicity - Fourier
analysis.2007-01-01T00:00:00ZOn Evaluation of Statistical Regularities in Seismic DataNedel’ko, V. M.Stupina, T. A.http://elib.bsu.by:80/handle/123456789/940882016-09-29T10:29:46Z2007-01-01T00:00:00ZЗаглавие 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
is investigated. The results show that the noise added to a signal when sensors
are placed on the ground dramatically weakens the predictability. Additionally,
a method for testing the statistical dependency between earthquakes on neighbouring
regions is proposed. This method uses a certain model of earthquake
influence propagation.2007-01-01T00:00:00Z