| DC Field | Value | Language |
|---|
| dc.contributor.author | Gusev, S. | - |
| dc.contributor.author | Gudkov, A. | - |
| dc.contributor.author | Sharonava, A. | - |
| dc.coverage.spatial | Минск | - |
| dc.date.accessioned | 2022-11-30T08:08:10Z | - |
| dc.date.available | 2022-11-30T08:08:10Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Gusev, S. Automated application for large sample processing / S. Gusev, A. Gudkov, A. Sharonava // Информационные технологии и системы 2022 (ИТС 2022) = Information Technologies and Systems 2022 (ITS 2022) : материалы Международной научной конференции, Минск, 23 ноября 2022 / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск : БГУИР, 2022. – С. 101–102. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/49214 | - |
| dc.description.abstract | The statement of the Central Limit Theorem is modeled on the example of large samples of the Laplace and the beta distributions using Python toolkit and the advanced capabilities of Jupyter Notebook. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | applications | ru_RU |
| dc.subject | sample processing | ru_RU |
| dc.subject | Python | ru_RU |
| dc.title | Automated application for large sample processing | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | ИТС 2022
|
