Книги жанра естественные науки
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a c…
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regress…
A step-by-step guide to computing and graphics in regression analysis In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporat…
Пособие содержит задания по всем разделам школьного курса математики и 10 вариантов тестовых заданий профильного уровня ЕГЭ по математике, составленных из типовых заданий на основе демонстрационной версии 2018 года. Представленный материал на протяжении многих лет успешно используется на подготовительных курсах Финансового университета при Правительстве РФ. Пособие содержит 1740 заданий всех уровн…
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a c…
Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability, the authors describe in general terms models based on Markov processes, martingales and various types of point processes. Discussing frequently asked insurance questions, the authors p…
This groundbreaking book introduces the application of statistical methodologies to e-Commerce data With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that …
В учебнике «Курс общей физики», состоящем из трех книг, в определенной последовательности рассматриваются все разделы данной дисциплины. Особенность издания заключается в двухуровневом способе представления изучаемого материала — каждая сложная тема описывается сначала в простой, а затем в более строгой и углубленной форме. В третьем томе при помощи математического аппарата дано изложение основных…
В учебном пособии излагаются сведения по теории искусственного интеллекта, которые следует изучить при подготовке к испытаниям, установленным учебным планом. Теория, приведенная в издании, логически структурирована, для лучшего ее понимания приведен обширный иллюстративный материал в виде схем. Пособие содержит практические примеры с разбором решений, список рекомендуемой литературы и перечень при…
Книга для моделирования и анализа квантовых систем» представляет уникальный подход к исследованию квантовых систем сверхпроводников и квантовых точек. Она подробно разбирает формулу QAMAP — Quantum Algorithm for Modeling and Analysis of Processes, объясняет ее предпочтение и составляющие элементы. Книга предоставляет инструкции по расчету формулы, дает советы по использованию на практике для оценк…
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availab…
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availab…
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availab…
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availab…
We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them. Quantification is required for normative decision-making, especially decisions pertaining to our safety an…