Statistic data simulation at estimation of biological system state
| Parent link: | Bulletin of the Tomsk Polytechnic University/ Tomsk Polytechnic University (TPU).— , 2006-2007 Vol. 311, № 5.— 2007.— [P. 120-123] |
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| Main Author: | |
| Summary: | Заглавие с титульного листа Электронная версия печатной публикации It has been shown by the method of statistic data simulation that using samples of small volume characterizing reference state of biological systems results in overstatement of difficulty degree of state integral estimation. It was stated that using asymptotic integral estimations obtained at unlimited increase of modeling reference sample volume is effective as integral estimation of biological system state |
| Language: | English |
| Published: |
2007
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| Series: | Control, computer engineeringand information science |
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| Online Access: | http://www.lib.tpu.ru/fulltext/v/Bulletin_TPU/2007/v311eng/i5/27.pdf |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=183103 |
| Physical Description: | 1 файл (434 Кб) |
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| Summary: | Заглавие с титульного листа Электронная версия печатной публикации It has been shown by the method of statistic data simulation that using samples of small volume characterizing reference state of biological systems results in overstatement of difficulty degree of state integral estimation. It was stated that using asymptotic integral estimations obtained at unlimited increase of modeling reference sample volume is effective as integral estimation of biological system state |