Автор: Arvai, Joseph Название: Effective Risk Communication ISBN: 1849712646 ISBN-13(EAN): 9781849712644 Издательство: Taylor&Francis Рейтинг: Цена: 22968.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Marius Hofert, Paul Embrechts, Valerie Chavez-Demoulin Название: Risk Revealed: Cautionary Tales, Understanding and Communication ISBN: 1009299816 ISBN-13(EAN): 9781009299817 Издательство: Cambridge Academ Рейтинг: Цена: 5542.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explore risk through numerous examples and their statistical modeling, travelling from a historical perspective all the way to an up-to-date technical analysis. Written with a wide readership in mind, this book begins with accounts of select major historical disasters, such as the North Sea Flood of 1953 and the L'Aquila earthquake. These tales serve to set the scene and to motivate the second part of the book, which describes the mathematical tools required to analyze these events, and how to use them. The focus is on the basic understanding of the mathematical modeling of risk and what types of questions the methods allow us to answer. The text offers a bridge between the world of science and that of everyday experience. It is written to be accessible to readers with only a basic background in mathematics and statistics. Even the more technical discussions are interspersed with historical comments and plentiful examples.
Название: Risk and Responsibilisation in Public Communication ISBN: 1032483393 ISBN-13(EAN): 9781032483399 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Marius Hofert, Paul Embrechts, Valerie Chavez-Demoulin Название: Risk Revealed: Cautionary Tales, Understanding and Communication ISBN: 1009299808 ISBN-13(EAN): 9781009299800 Издательство: Cambridge Academ Рейтинг: Цена: 12670.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explore risk through numerous examples and their statistical modeling, travelling from a historical perspective all the way to an up-to-date technical analysis. Written with a wide readership in mind, this book begins with accounts of select major historical disasters, such as the North Sea Flood of 1953 and the L'Aquila earthquake. These tales serve to set the scene and to motivate the second part of the book, which describes the mathematical tools required to analyze these events, and how to use them. The focus is on the basic understanding of the mathematical modeling of risk and what types of questions the methods allow us to answer. The text offers a bridge between the world of science and that of everyday experience. It is written to be accessible to readers with only a basic background in mathematics and statistics. Even the more technical discussions are interspersed with historical comments and plentiful examples.
Автор: Denuit, Michel Hainaut, Donatien Trufin, Julien Название: Effective statistical learning methods for actuaries ii ISBN: 3030575551 ISBN-13(EAN): 9783030575557 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods.
Автор: Wertz, Keith Название: Managing Workers` Compensation ISBN: 1566703484 ISBN-13(EAN): 9781566703482 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Michel Denuit; Donatien Hainaut; Julien Trufin Название: Effective Statistical Learning Methods for Actuaries III ISBN: 3030258262 ISBN-13(EAN): 9783030258269 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous yet accessible.Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting.Requiring only a basic knowledge of statistics, this book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine learning.This is the third of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.
Автор: Michel Denuit; Donatien Hainaut; Julien Trufin Название: Effective Statistical Learning Methods for Actuaries I ISBN: 303025819X ISBN-13(EAN): 9783030258191 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS).
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