Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/291848Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Palukha, U. Yu. | |
| dc.contributor.author | Kharin, Yu. S. | |
| dc.contributor.author | Siarheeu, A. I. | |
| dc.contributor.author | Arlou, A. A. | |
| dc.date.accessioned | 2023-01-13T09:38:34Z | - |
| dc.date.available | 2023-01-13T09:38:34Z | - |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – Pp. 148-162. | |
| dc.identifier.isbn | 978-985-881-420-5 | |
| dc.identifier.uri | https://elib.bsu.by/handle/123456789/291848 | - |
| dc.description.abstract | In this paper the problem of statistical testing of random and pseudorandom sequences is considered. Estimators of Shannon, R´enyi and Tsallis entropy functionals are proposed as test statistics. Decision on accepting the hypothesis on pure “randomness” of binary sequence is made by its entropy profile. Stochastic dependence of Shannon entropy for s- and (s+1)-tuples evaluated. The software package for entropy analysis of discrete sequences is developed | |
| dc.description.sponsorship | This work is supported by the project No. 20214074 of the Ministry of education of Belarus | |
| dc.language.iso | en | |
| dc.publisher | Minsk : BSU | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика | |
| dc.title | On statistical testing of random and pseudorandom sequences based on entropy functionals | |
| dc.type | conference paper | |
| Appears in Collections: | 2022. Computer Data Analysis and Modeling: Stochastics and Data Science | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 148-162.pdf | 751,59 kB | Adobe PDF | View/Open |
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