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Bayesian Inference for Probabilistic Risk Assessment, Kelly


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Автор: Kelly
Название:  Bayesian Inference for Probabilistic Risk Assessment
ISBN: 9781849961868
Издательство: Springer
Классификация:
ISBN-10: 1849961867
Обложка/Формат: Hardback
Страницы: 179
Вес: 0.50 кг.
Дата издания: 01.08.2011
Серия: Springer Series in Reliability Engineering
Язык: English
Издание: 2011 ed.
Иллюстрации: 58 black & white illustrations, 40 colour illustrations, 117 black & white tables
Размер: 241 x 162 x 19
Читательская аудитория: Professional & vocational
Подзаголовок: A practitioner`s guidebook
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems.

Probabilistic Risk Analysis

Автор: Tim Bedford
Название: Probabilistic Risk Analysis
ISBN: 0521773202 ISBN-13(EAN): 9780521773201
Издательство: Cambridge Academ
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Цена: 98210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on extensive experience, the authors focus on the conceptual and mathematical foundations underlying the quantification, interpretation and management of risk. They cover standard topics as well as important new subjects such as the use of expert judgement and uncertainty propagation. The relationship with decision making is highlighted.

Probabilistic Models of Population Evolution

Автор: Pardoux
Название: Probabilistic Models of Population Evolution
ISBN: 3319303260 ISBN-13(EAN): 9783319303260
Издательство: Springer
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Цена: 30740.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such a population is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications.

?tienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud.

Probabilistic Methods of Signal and System Analysis

Автор: Cooper, George R.; McGillem, Clare D.
Название: Probabilistic Methods of Signal and System Analysis
ISBN: 0195123549 ISBN-13(EAN): 9780195123548
Издательство: Oxford Academ
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Цена: 242870.00 T
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Описание: Originally published in 1971, this text is intended for signals and systems courses which emphasize probability. It provides an introduction to probability theory, statistics, random processes and the analysis of systems with random inputs. This edition has been updated and uses Matlab.

Using the Weibull Distribution - Reliability, Modeling, and Inference

Автор: McCool
Название: Using the Weibull Distribution - Reliability, Modeling, and Inference
ISBN: 1118217985 ISBN-13(EAN): 9781118217986
Издательство: Wiley
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Цена: 116110.00 T
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Описание: Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively.

Inductive Inference for Large Scale Text Classification

Автор: Catarina Silva; Bernadete Ribeiro
Название: Inductive Inference for Large Scale Text Classification
ISBN: 3642045324 ISBN-13(EAN): 9783642045325
Издательство: Springer
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Цена: 139310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, scale and distribute text classification tasks.

Inductive Inference for Large Scale Text Classification

Автор: Catarina Silva; Bernadete Ribeiro
Название: Inductive Inference for Large Scale Text Classification
ISBN: 3642261345 ISBN-13(EAN): 9783642261343
Издательство: Springer
Рейтинг:
Цена: 113180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, scale and distribute text classification tasks.


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