База данных: База IPR
Беті 19, Нәтижелерін: 182
Отмеченные записи: 0
181.
Подробнее
16627
Рюэль, Давид
Случайность и хаос / Рюэль Давид. - Москва, Ижевск : Регулярная и хаотическая динамика, 2001. - 191 с. - ISBN 5-93972-095-1 : Б. ц.
Книга находится в Премиум-версии IPR SMART.
ББК 22.3
Кл.слова (ненормированные):
детерминирование хаоса -- нелинейная динамика -- случайность -- хаос
Аннотация: В книге в популярной форме представлены основные идеи нелинейной динамики, детерминирования хаоса, получившие особое развитие в последние десятилетия. Книга содержит множество интересных исторических подробностей, а также обзор некоторых новых научных направлений. Для широкого круга читателей— студентов, аспирантов, специалистов.
Рюэль, Давид
Случайность и хаос / Рюэль Давид. - Москва, Ижевск : Регулярная и хаотическая динамика, 2001. - 191 с. - ISBN 5-93972-095-1 : Б. ц.
Книга находится в Премиум-версии IPR SMART.
| УДК |
Кл.слова (ненормированные):
детерминирование хаоса -- нелинейная динамика -- случайность -- хаос
Аннотация: В книге в популярной форме представлены основные идеи нелинейной динамики, детерминирования хаоса, получившие особое развитие в последние десятилетия. Книга содержит множество интересных исторических подробностей, а также обзор некоторых новых научных направлений. Для широкого круга читателей— студентов, аспирантов, специалистов.
182.
Подробнее
153728
Pyrkina, O. E.
Probability Theory and Mathematical Statistic for Applications in Data Analysis : textbook / Pyrkina O. E. - Москва : Прометей, 2023. - 582 с. - ISBN 978-5-00172-475-9 : Б. ц.
Книга находится в Премиум-версии IPR SMART.
ББК 22.17
Кл.слова (ненормированные):
data science -- анализ данных -- математическая статистика -- теория вероятностей -- цифровая экономика
Аннотация: The textbook «Probability Theory and Mathematical Statistic for Applications in Data Analysis» prepares readers for successful operation with information as a part of contemporary data science. The productive formation and development of the digital economy is impossible without the ability of specialists to operate competently and effectively with a continuously incoming stream of digital statistical data. To process such data and to make management decisions based on the data, skills and abilities of both technical and theoretical levels are required, that allows to carry out generalizations and make conclusions based on the information received. The textbook discusses step by step traditional topics of courses in probability theory and mathematical statistics as a theoretical foundation for data analysis. All course questions are considered with application of statistical functions and the Excel data analysis package. The course is supplemented with examples, tasks and test questions for self-examination. The textbook includes 20 chapters, an introduction and conclusion. The textbook can be used by students and lecturers of universities (in particular, the Financial University under the Government of the Russian Federation) in the course of «Data Analysis» (disciplines of the basic part of the mathematical cycle of disciplines, for a field of study 38.03.01 «Economics», study programs (concentrations): «International Finance» ( in English), «International Trade and Taxation» (in English), «World Economy and International Business» (with partial implementation in English), «World Finance» (with partial implementation in English), «International Business of Energy companies» (with partial implementation in English), level of study: bachelor\'s degree programs.
Pyrkina, O. E.
Probability Theory and Mathematical Statistic for Applications in Data Analysis : textbook / Pyrkina O. E. - Москва : Прометей, 2023. - 582 с. - ISBN 978-5-00172-475-9 : Б. ц.
Книга находится в Премиум-версии IPR SMART.
| УДК |
Кл.слова (ненормированные):
data science -- анализ данных -- математическая статистика -- теория вероятностей -- цифровая экономика
Аннотация: The textbook «Probability Theory and Mathematical Statistic for Applications in Data Analysis» prepares readers for successful operation with information as a part of contemporary data science. The productive formation and development of the digital economy is impossible without the ability of specialists to operate competently and effectively with a continuously incoming stream of digital statistical data. To process such data and to make management decisions based on the data, skills and abilities of both technical and theoretical levels are required, that allows to carry out generalizations and make conclusions based on the information received. The textbook discusses step by step traditional topics of courses in probability theory and mathematical statistics as a theoretical foundation for data analysis. All course questions are considered with application of statistical functions and the Excel data analysis package. The course is supplemented with examples, tasks and test questions for self-examination. The textbook includes 20 chapters, an introduction and conclusion. The textbook can be used by students and lecturers of universities (in particular, the Financial University under the Government of the Russian Federation) in the course of «Data Analysis» (disciplines of the basic part of the mathematical cycle of disciplines, for a field of study 38.03.01 «Economics», study programs (concentrations): «International Finance» ( in English), «International Trade and Taxation» (in English), «World Economy and International Business» (with partial implementation in English), «World Finance» (with partial implementation in English), «International Business of Energy companies» (with partial implementation in English), level of study: bachelor\'s degree programs.
Беті 19, Нәтижелерін: 182