ЭБ Коллекция: https://elib.bsu.by:443/handle/123456789/94026 2026-04-20T01:18:24Z Computer Data Analysis in Modeling and Optimization of Manufacturing Process Control System https://elib.bsu.by:443/handle/123456789/94091 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 Simulation of Complex Systems BelSimage 2007-01-01T00:00:00Z Mixture Decomposition of Censored Pareto-II Density with Normal One by EM-Algorithm https://elib.bsu.by:443/handle/123456789/94090 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 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. 2007-01-01T00:00:00Z Application of the Method of Information Decomposition for Revealing the Latent Periodicity in Financial Time Series https://elib.bsu.by:443/handle/123456789/94089 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 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. 2007-01-01T00:00:00Z On Evaluation of Statistical Regularities in Seismic Data https://elib.bsu.by:443/handle/123456789/94088 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 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