Описание: In the bestselling tradition of Supercrunchers and Freakonomics a popular statistician and blogger provides a fascinating and entertaining narrative that dramatizes the hidden power of numbers and numerical relationships in everyday life.
Rare event probability (10-4 and less) estimation has become a large area of research in the reliability engineering and system safety domains. A significant number of methods have been proposed to reduce the computation burden for the estimation of rare events from advanced sampling approaches to extreme value theory. However, it is often difficult in practice to determine which algorithm is the most adapted to a given problem. Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems: A Practical Approach provides a broad up-to-date view of the current available techniques to estimate rare event probabilities described with a unified notation, a mathematical pseudocode to ease their potential implementation and finally a large spectrum of simulation results on academic and realistic use cases.
Автор: Asmussen SA ren Название: Ruin Probabilities ISBN: 9814282529 ISBN-13(EAN): 9789814282529 Издательство: World Scientific Publishing Рейтинг: Цена: 30888.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers a comprehensive treatment of the classical and modern ruin probability theory. This title includes topics such as: Lundberg`s inequality, the Cramer-Lundberg approximation, exact solutions, other approximations, finite horizon ruin probabilities, and extensions of the classical compound Poisson model to allow for reserve-dependent premiums.
Автор: Alan Genz; Frank Bretz Название: Computation of Multivariate Normal and t Probabilities ISBN: 364201688X ISBN-13(EAN): 9783642016882 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multivariate normal and t probabilities are needed for statistical inference in many applications. This book describes the developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. It discusses methods for specialized problems as well as methods for general problems.
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