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Satisfying Safety Goals by Probabilistic Risk Assessment, Hiromitsu Kumamoto


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Цена: 19589.00р.
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Автор: Hiromitsu Kumamoto
Название:  Satisfying Safety Goals by Probabilistic Risk Assessment
ISBN: 9781849966412
Издательство: Springer
Классификация:







ISBN-10: 1849966419
Обложка/Формат: Paperback
Страницы: 253
Вес: 0.39 кг.
Дата издания: 28.10.2010
Серия: Springer Series in Reliability Engineering
Язык: English
Размер: 234 x 156 x 15
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is a methodological approach to the goal-based safety design procedure that will soon be an international requirement. This is the first single volume book to describe how to satisfy safety goals by modern reliability engineering. Its focus is on the quantitative aspects of the international standards using a methodological approach.


Probabilistic robotics

Автор: Thrun, Sebastian
Название: Probabilistic robotics
ISBN: 0262201623 ISBN-13(EAN): 9780262201629
Издательство: MIT Press
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Цена: 14390.00 р.
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Описание:

An introduction to the techniques and algorithms of the newest field in robotics.

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

Probabilistic Safety Assessment of WWER440 Reactors

Автор: Zoltan Kovacs
Название: Probabilistic Safety Assessment of WWER440 Reactors
ISBN: 3319085476 ISBN-13(EAN): 9783319085470
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Introduction.- The nuclear power plant with WWER440 reactors.- Level 1 full power PSA.- Level 1 low power and shutdown PSA.- Level 2 PSA.- PSA applications.- Conclusions.

Probabilistic Safety Assessment of WWER440 Reactors

Автор: Zoltan Kovacs
Название: Probabilistic Safety Assessment of WWER440 Reactors
ISBN: 3319360701 ISBN-13(EAN): 9783319360706
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Introduction.- The nuclear power plant with WWER440 reactors.- Level 1 full power PSA.- Level 1 low power and shutdown PSA.- Level 2 PSA.- PSA applications.- Conclusions.

Probabilistic Structural Mechanics Handbook

Автор: C.R. Sundararajan
Название: Probabilistic Structural Mechanics Handbook
ISBN: 1461357136 ISBN-13(EAN): 9781461357131
Издательство: Springer
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Цена: 28734.00 р.
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Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

Автор: Pierre Bessi?re; Christian Laugier; Roland Siegwar
Название: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
ISBN: 3642097847 ISBN-13(EAN): 9783642097843
Издательство: Springer
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Цена: 26120.00 р.
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Описание: The chapters contain a sizable segment of cognitive systems research in Europe. Contributions come from leading academic institutions within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS).

Probabilistic Finite Element Model Updating Using Bayesian Statistics

Автор: Marwala Tshilidzi
Название: Probabilistic Finite Element Model Updating Using Bayesian Statistics
ISBN: 1119153034 ISBN-13(EAN): 9781119153030
Издательство: Wiley
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Цена: 14565.00 р.
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Описание: Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering Tshilidzi Marwala and Ilyes Boulkaibet, University of Johannesburg, South Africa Sondipon Adhikari, Swansea University, UK Covers the probabilistic finite element model based on Bayesian statistics with applications to aeronautical and mechanical engineering Finite element models are used widely to model the dynamic behaviour of many systems including in electrical, aerospace and mechanical engineering. The book covers probabilistic finite element model updating, achieved using Bayesian statistics. The Bayesian framework is employed to estimate the probabilistic finite element models which take into account of the uncertainties in the measurements and the modelling procedure.

The Bayesian formulation achieves this by formulating the finite element model as the posterior distribution of the model given the measured data within the context of computational statistics and applies these in aeronautical and mechanical engineering. Probabilistic Finite Element Model Updating Using Bayesian Statistics contains simple explanations of computational statistical techniques such as Metropolis-Hastings Algorithm, Slice sampling, Markov Chain Monte Carlo method, hybrid Monte Carlo as well as Shadow Hybrid Monte Carlo and their relevance in engineering. Key features: * Contains several contributions in the area of model updating using Bayesian techniques which are useful for graduate students.

* Explains in detail the use of Bayesian techniques to quantify uncertainties in mechanical structures as well as the use of Markov Chain Monte Carlo techniques to evaluate the Bayesian formulations. The book is essential reading for researchers, practitioners and students in mechanical and aerospace engineering.

Conformal and probabilistic prediction with applications

Название: Conformal and probabilistic prediction with applications
ISBN: 3319333941 ISBN-13(EAN): 9783319333946
Издательство: Springer
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Цена: 6988.00 р.
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Описание:

Theory of conformal prediction.- Applications of conformal prediction.- Machine learning.

Bayesian Inference for Probabilistic Risk Assessment

Автор: Kelly
Название: Bayesian Inference for Probabilistic Risk Assessment
ISBN: 1849961867 ISBN-13(EAN): 9781849961868
Издательство: Springer
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Цена: 23757.00 р.
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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: 14731.00 р.
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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 Reasoning in Intelligent Systems,

Автор: Judea Pearl
Название: Probabilistic Reasoning in Intelligent Systems,
ISBN: 1558604790 ISBN-13(EAN): 9781558604797
Издательство: Elsevier Science
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Цена: 9599.00 р.
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Описание:

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.


Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Advances in Probabilistic Databases for Uncertain Information Management

Автор: Zongmin Ma; Li Yan
Название: Advances in Probabilistic Databases for Uncertain Information Management
ISBN: 3642375081 ISBN-13(EAN): 9783642375088
Издательство: Springer
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Цена: 18284.00 р.
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Описание:

1 Research in Probabilistic Spatiotemporal Databases:
The SPOT Framework.-

2 A Probabilistic Object-Oriented Database Model with
Fuzzy Measures.-

3 Probabilistic XML: Models and Complexity.-

4 Uncertain Data: Representations, Query Processing,
and Applications.-

5 A Theoretically-Sound Approach for OLAPing Uncertain
and Imprecise Multidimensional Data Streams.-

6 Tractable Probabilistic Description Logic Programs.

Probabilistic Methods for Structural Design

Автор: Carlos Guedes Soares
Название: Probabilistic Methods for Structural Design
ISBN: 9401063664 ISBN-13(EAN): 9789401063661
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book contains contributions from various authors on different important topics related with probabilistic methods used for the design of structures. Initially several of the papers were prepared for advanced courses on structural reliability or on probabilistic methods for structural design.


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