Название: Численное статистическое моделирование: Методы Монте-Карло Автор: Михайлов Г.А., Войтишек А.В. Издательство: М.: Академия Год: 2006 Cтраниц: 370 Формат: pdf Размер: 23 мб Язык: русский
В учебном пособии представлены как классические результаты, так и последние теоретические и методические разработки численного статистического моделирования, рассмотрены методы моделирования случайных величин и процессов, численного интегрирования и решения интегральных уравнений второго рода. Особое внимание уделено современным приложениям метода Монте-Карло.
Название: Biostatistics Manual for Health Research: A Practical Guide to Data Analysis Автор: Nafis Faizi, Yasir Alvi Издательство: Academic Press/Elsevier Год: 2023 Страниц: 292 Язык: английский Формат: pdf (true) Размер: 10.2 MB
Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher’s point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.
Название: Основы высшей математики Автор: Шипачев В.С. Издательство: М.: Высшая школа Год: 1994 - 2-е издание Cтраниц: 480 Формат: pdf Размер: 13 мб Язык: русский
В пособии изложен общий курс математики для студентов вузов. Основная особенность книги — сочетание необходимого теоретического материала с широким использованием методов решения основных типов задач по всем разделам курса. Пособие отличается высоким уровнем строгости и методической продуманностью изложения, точностью формулировок основных понятий и теорем, краткостью и доступностью доказательств. Для студентов высших учебных заведений.
Название: Doing Statistical Analysis: A Student’s Guide to Quantitative Research Автор: Christer Thrane Издательство: Routledge Год: 2023 Страниц: 267 Язык: английский Формат: pdf (true), epub (true) Размер: 30.9 MB
Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational, and inferential – and shows students how to conduct statistical analyses and interpret the results. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid understanding. Each chapter contains practice exercises, and a section showing students how to reproduce the statistical results in the book using Stata and SPSS. Digital supplements consist of data sets in Stata, SPSS, and Excel, and a test bank for instructors. Its accessible approach means this is the ideal textbook for undergraduate students across the social and behavioral sciences needing to build their confidence with statistical analysis.
Название:Handbook of Colorants Chemistry. Volume 2: in Painting, Art and Inks Автор: Klöckl I. Издательство:Walter de Gruyter GmbH Год: 2023 Формат:PDF Страниц:448 Размер: 10,3 МБ Язык: English
Volume 2 of the Handbook of Colorant Chemistry focuses on paints, painting and drawing systems used by the painter and craftsman. It describes in detail structure of oil, watercolor, acrylic and ceramic paints, inks, toners, and other drawing systems. From presenting molecular compositions of common paints and inks to a historical look at color chemistry, the author offers an in-depth look at the world of color.
Название: Handbook of Colorants Chemistry. Volume 1: Dyes and Pigments Fundamentals Автор: Klöckl I. Издательство:Walter de Gruyter GmbH Год: 2023 Формат:PDF Страниц: 516 Размер: 10,4 МБ Язык: English
Volume 1 of the Handbook of Colorants Chemistry comprehensively covers the fundamentals of color as well as the underlying scientifi c principles, via the presentation of molecular compositions of inorganic and organic pigments. The author explains the chemical and physical production of color and the infl uence of the physical-geometric pigment parameters on the color shade. This volume also deals with historical and modern pigments, dyes, and binders, as well as their mode of action.
Название: Элементы теории многошаговых процессов последовательного выбора решений Автор: Модель Б.И. Издательство: М.: Наука Год: 1985 Страниц: 94 Язык: Русский Формат: djvu Размер: 23,0 Мб Качество: хорошее, текстовый слой, оглавление.
Математическое выражение принципа оптимальности представляет рекуррентное соотношение, называемое уравнением Беллмана. Оптимальное уравнение в динамической задаче обладает тем свойством, что каковы бы ни были решения (управления) на начальном этапе (одном или нескольких шагах), последующие решения должны составлять оптимальное управление для критерия, представляющего собой сумму эффективностей на оставшихся шагах и полученного нового начального состояния. Это утверждение называется принципом оптимальности.
Название: Building Your Career As a Statistician: A Practical Guide to Longevity, Happiness, and Accomplishment Автор: Craig Mallinckrodt Издательство: CRC Press Год: 2024 Страниц: 366 Язык: английский Формат: pdf (true) Размер: 15.8 MB
This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in their career with sufficient work time remaining such that investing in additional learning could be beneficial. As such, the book would be suitable for anyone pursing an MS or PhD in statistics or those already working in statistics. The book focuses on the non-statistical aspects of being a statistician that are crucial for success. These factors include 1) productivity and prioritization, 2) innovation and creativity, 3) communication, 4) critical thinking and decisions under uncertainty, 5) influence and leadership, 6) working relationships, and 7) career planning and continued learning. Each of these chapters includes sections on foundational principles and a section on putting those principles into practice. Connections between these individual skills are emphasized such that the reader can appreciate how the skills build upon each other leading to a whole that is greater than the sum of its parts. By including the individual perspectives from other experts on the fundamental principles and their application, readers will have a well-rounded view on how to build upon and fully leverage their technical skills in statistics.
Название: Introduction to Matrix Analytic Methods in Queues 1: Analytical and Simulation Approach - Basics Автор: Srinivas R. Chakravarthy Издательство: Wiley-ISTE Год: 2022 Страниц: 370 Язык: английский Формат: pdf (true), epub (true) Размер: 18.7 MB
Matrix-analytic methods (MAM) were introduced by Professor Marcel Neuts and have been applied to a variety of stochastic models since. In order to provide a clear and deep understanding of MAM while showing their power, this book presents MAM concepts and explains the results using a number of worked-out examples. This book’s approach will inform and kindle the interest of researchers attracted to this fertile field. To allow readers to practice and gain experience in the algorithmic and computational procedures of MAM, Introduction to Matrix Analytic Methods in Queues 1 provides a number of computational exercises. It also incorporates simulation as another tool for studying complex stochastic models, especially when the state space of the underlying stochastic models under analytic study grows exponentially.
Название: Fundamentals of Stochastic Models Автор: Zhe George Zhang Издательство: CRC Press Год: 2023 Страниц: 815 Язык: английский Формат: pdf (true) Размер: 30.8 MB
Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, Machine Learning, and Artificial Intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches.
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Название: Biostatistics Manual for Health Research: A Practical Guide to Data Analysis
Название: Doing Statistical Analysis: A Student’s Guide to Quantitative Research
Название: Building Your Career As a Statistician: A Practical Guide to Longevity, Happiness, and Accomplishment
Название: Introduction to Matrix Analytic Methods in Queues 1: Analytical and Simulation Approach - Basics
Название: Fundamentals of Stochastic Models