Statistics for stochastic processes: study aid
| Ente Autore: | |
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| Altri autori: | , |
| Riassunto: | Заглавие с титульного экрана Текст на английском языке The study aid discusses the basic concepts of stochastic processes. Numerical schemes for solving stochastic differential equations are presented, parametric and non-parametric approaches for identifying model parameters are briefly considered, as well as techniques for reducing variation in Monte Carlo simulations and criteria for choosing the best model. All sections of the study aid include practical problems for solving in R/Python language. The study aid is based on the course "Statistics for stochastic processes" and can be useful for students of direction of training 01.03.02, 01.04.02 "Applied Mathematics and Computer Science". Текстовый файл AM_TPU_network |
| Lingua: | inglese |
| Pubblicazione: |
Tomsk, TPU Publishing House, 2023
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| Soggetti: | |
| Accesso online: | https://www.lib.tpu.ru/fulltext2/m/2023/m33.pdf |
| Natura: | Elettronico Libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=669725 |
MARC
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| 200 | 1 | |a Statistics for stochastic processes |d Статистика случайных процессов |e study aid |f National Research Tomsk Polytechnic University ; draftsmen M.E. Semenov, G.V. Fedorov | |
| 203 | |a Текст |b визуальный |c электронный | ||
| 210 | |a Tomsk |c TPU Publishing House |d 2023 | ||
| 215 | |a 1 файл (1,3 MB, 79 с.) |c pdf | ||
| 283 | |a online_resource |2 RDAcarrier | ||
| 300 | |a Заглавие с титульного экрана | ||
| 300 | |a Текст на английском языке | ||
| 320 | |a References: p. 77-79 | ||
| 330 | |a The study aid discusses the basic concepts of stochastic processes. Numerical schemes for solving stochastic differential equations are presented, parametric and non-parametric approaches for identifying model parameters are briefly considered, as well as techniques for reducing variation in Monte Carlo simulations and criteria for choosing the best model. All sections of the study aid include practical problems for solving in R/Python language. The study aid is based on the course "Statistics for stochastic processes" and can be useful for students of direction of training 01.03.02, 01.04.02 "Applied Mathematics and Computer Science". | ||
| 336 | |a Текстовый файл | ||
| 371 | 0 | |a AM_TPU_network | |
| 510 | |a Статистика случайных процессов |z rus | ||
| 606 | |a Случайные процессы |x Математическое моделирование |9 73295 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a учебные пособия | |
| 610 | 1 | |a stochastic process | |
| 610 | 1 | |a stochastic differential equation | |
| 610 | 1 | |a стохастические дифференциальные уравнения | |
| 610 | 1 | |a Monte Carlo method | |
| 610 | 1 | |a Метод Монте-Карло | |
| 610 | 1 | |a practical problems | |
| 610 | 1 | |a практические задачи | |
| 610 | 1 | |a R/Python | |
| 675 | |a 519.216 |v 4 | ||
| 702 | 1 | |a Semenov |b M. E. |c mathematician |c Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences |f 1978- |g Mikhail Evgenievich |4 220 | |
| 702 | 1 | |a Fedorov |b G. V. |g Gleb Vladimirovich |4 220 | |
| 712 | 0 | 2 | |a National Research Tomsk Polytechnic University |9 27197 |
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