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Probabilistic Risk Analysis, Tim Bedford



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Цена: 9202р.
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Склад Англия: 912 шт.  Склад Америка: 73 шт.  
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Автор: Tim Bedford
Название:  Probabilistic Risk Analysis   (Анализ вероятностных рисков)
Издательство: Cambridge Academ
Классификация:
ISBN: 0521773202
ISBN-13(EAN): 9780521773201
Обложка/Формат: Hardback
Страницы: 414
Вес: 0.956 кг.
Дата издания: 30.04.2001
Язык: English
Иллюстрации: 105 line figures 47 tables 76 exercises
Размер: 252 x 180 x 24
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Foundations and methods
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Increasingly, such analyses are being applied to a wider class of systems in which problems such as lack of data, complexity of the systems, uncertainty about consequences, make a classical statistical analysis difficult or impossible. The authors discuss the fundamental notion of uncertainty, its relationship with probability, and the limits to the quantification of uncertainty. Drawing on extensive experience in the theory and applications of risk analysis, 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 of risk analysis with decision making is highlighted in chapters on influence diagrams and decision theory. Finally, the difficulties of choosing metrics to quantify risk, and current regulatory frameworks are discussed.
Дополнительное описание: Subject: Mathematics / Optimization, OR and Risk Analysis
Readership: statistics, operations research, applied probability, engineering
Level: graduate students, undergraduate students, academic researchers, professionals
Format: 247 x 174 mm 414pp 105 line diagrams 47 tables 76 exercises
Chapter Titles: Part I. Introduction: 1. Probabilistic risk analysis; Part II. Theoretical Issues and Background: 2. What is uncertainty?; 3. Probabilistic methods; 4. Statistical inference; 5. Weibull analysis; Part II. System Analysis and Quantification: 6. Fault and event trees; 7. Fault trees - analysis; 8. Dependent failures; 9. Reliability data bases; 10. Expert opinion; 11. Human reliability; 12. Software reliability; Part IV. Uncertainty Modeling and Risk Measurement: 13. Decision theory; 14. Influence diagrams and belief nets; 15. Project risk management; 16. Probabilistic inversion; 17. Uncertainty analysis; 18. Risk measurement and regulation; Bibliography; Index.





Probabilistic Graphical Models: Principles and Techniques

Автор: Koller Daphne, Friedman Nir
Название: Probabilistic Graphical Models: Principles and Techniques
ISBN: 0262013193 ISBN-13(EAN): 9780262013192
Издательство: MIT Press
Рейтинг:
Цена: 12760 р.
Наличие на складе: Невозможна поставка.

Описание: A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Probabilistic Techniques in Analysis

Автор: Bass
Название: Probabilistic Techniques in Analysis
ISBN: 0387943870 ISBN-13(EAN): 9780387943879
Издательство: Springer
Рейтинг:
Цена: 8982 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Exploring the use of techniques drawn from probability research to tackle problems in mathematical analysis, this study includes discussion of the construction of the Martin boundary, Dahlberg`s Theorem, probabilistic proofs of the boundary Harnack principle, and much more.

Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference

Автор: Frenkel
Название: Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference
ISBN: 1118539427 ISBN-13(EAN): 9781118539422
Издательство: Wiley
Рейтинг:
Цена: 13687 р.
Наличие на складе: Поставка под заказ.

Описание: This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.

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: 20411 р.
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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.

Scenario Logic and Probabilistic Management of Risk in Business and Engineering

Автор: Evgueni D. Solojentsev
Название: Scenario Logic and Probabilistic Management of Risk in Business and Engineering
ISBN: 144194608X ISBN-13(EAN): 9781441946089
Издательство: Springer
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Цена: 18286 р.
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Описание: This unique book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It includes clear definitions and notations, revised chapters, an extended list of references, and a new subject index.

Probabilistic Causality

Автор: Ellery Eells
Название: Probabilistic Causality
ISBN: 0521061326 ISBN-13(EAN): 9780521061322
Издательство: Cambridge Academ
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Цена: 5061 р.
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Описание: In this important first book in the series Cambridge Studies in Probability, Induction and Decision Theory, Ellery Eells explores and refines current philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the analysis of what it is for one factor to be a positive causal factor for another. A salient feature of the book is a new theory of token level probabilistic causation in which the evolution of the probability of a later event from an earlier event is central. This will be a book of crucial significance to philosophers of science and metaphysicians; it will also prove stimulating to many economists, psychologists, and physicists.

Probabilistic methods of investigating interior smoothness of harmonic functions associated with degenerate elliptic operators

Автор: Krylov Nikolai
Название: Probabilistic methods of investigating interior smoothness of harmonic functions associated with degenerate elliptic operators
ISBN: 8876421408 ISBN-13(EAN): 9788876421402
Издательство: Springer
Цена: 1568 р.
Наличие на складе: Нет в наличии.

Описание: The lectures concentrate on some old and new relations between quasiderivatives of solutions to Ito stochastic equations and interior smoothness of harmonic functions associated with degenerate elliptic equations. Recent progress in the case of constant coefficients is discussed in full detail.

Probabilistic Methods in Geotechnical Engineering

Автор: Griffiths D. V., Fenton G. A.
Название: Probabilistic Methods in Geotechnical Engineering
ISBN: 3211733655 ISBN-13(EAN): 9783211733653
Издательство: Springer
Рейтинг:
Цена: 13672 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Soils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic treatment. The application of statistical and probabilistic concepts to geotechnical analysis is a rapidly growing area of interest for both academics and practitioners. The book is therefore aimed at students, researchers, and practitioners of geotechnical engineering who wish to keep abreast of developments in this evolving field of study. The course content and will assume no more that an introductory understanding of probability and statistics on the part of the course participants.The main objective is to present a state-of-the-art training on probabilistic techniques applied to geotechnical engineering in relation to both theory and practice. Including:(a) discussion of potential benefits of probabilistic approaches as opposed to the classical “Factor of Safety” methods, to review sources of uncertainty in geotechnical analysis and to introduce methods of LRFD and reliability concepts in Eurocode 7,(b) review of relevant statistical theories needed to develop the methodologies and interpret the results of probabilistic analysis,(c) examples of established probabilistic methods of analysis in geotechnical engineering, such as the First Order Second Moment (FOSM) method, the Point Estimate Method (PEM), the First and Second Order Reliability Methods (FORM SORM) and Random Set (RS) theory,(d) description of numerical methods of probabilistic analysis based on the finite element method, such as the Stochastic Finite Element Method (SFEM) and recent developments on the Random Finite Element Method (RFEM),(e) practical examples and case histories of probabilistic applications in geotechnical engineering.

Advances in Probabilistic Graphical Models

Автор: Lucas Peter, GГЎmez JosГ© A., SalmerГіn Antonio
Название: Advances in Probabilistic Graphical Models
ISBN: 354068994X ISBN-13(EAN): 9783540689942
Издательство: Springer
Рейтинг:
Цена: 11490 р.
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Описание: In recent years considerable progress has been made in the area of probabilistic graphical models, in particular Bayesian networks and influence diagrams. Probabilistic graphical models have become mainstream in the area of uncertainty in artificial intelligence;contributions to the area are coming from computer science, mathematics, statistics and engineering.This carefully edited book brings together in one volume some of the most important topics of current research in probabilistic graphical modelling, learning from data and probabilistic inference. This includes topics such as the characterisation of conditional independence, the sensitivity of the underlying probability distribution of a Bayesian network to variation in its parameters, the learning of graphical models with latent variables and extensions to the influence diagram formalism. In addition, attention is given to important application fields of probabilistic graphical models, such as the control of vehicles, bioinformatics and medicine.

Fixed Point Theory in Probabilistic Metric Spaces

Автор: Hadzic O., Pap E.
Название: Fixed Point Theory in Probabilistic Metric Spaces
ISBN: 1402001290 ISBN-13(EAN): 9781402001291
Издательство: Springer
Рейтинг:
Цена: 9926 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Fixed point theory in probabilistic metric spaces can be considered as a part of Probabilistic Analysis, which is a very dynamic area of mathematical research. A primary aim of this monograph is to stimulate interest among scientists and students in this fascinating field. The text is self-contained for a reader with a modest knowledge of the metric fixed point theory. Several themes run through this book. The first is the theory of triangular norms (t-norms), which is closely related to fixed point theory in probabilistic metric spaces. Its recent development has had a strong influence upon the fixed point theory in probabilistic metric spaces. In Chapter 1 some basic properties of t-norms are presented and several special classes of t-norms are investigated. Chapter 2 is an overview of some basic definitions and examples from the theory of probabilistic metric spaces. Chapters 3, 4, and 5 deal with some single-valued and multi-valued probabilistic versions of the Banach contraction principle. In Chapter 6, some basic results in locally convex topological vector spaces are used and applied to fixed point theory in vector spaces. Audience: The book will be of value to graduate students, researchers, and applied mathematicians working in nonlinear analysis and probabilistic metric spaces.

Probabilistic and Randomized Methods for Design under Uncertainty

Автор: Calafiore Giuseppe, Dabbene Fabrizio
Название: Probabilistic and Randomized Methods for Design under Uncertainty
ISBN: 184628094X ISBN-13(EAN): 9781846280948
Издательство: Springer
Рейтинг:
Цена: 34484 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Examines uncertain systems in control engineering and general decision or optimization problems for which data is uncertain. This book describes theory and solution methods for probability-constrained and stochastic optimization problems. It is of interest to researchers, academics and postgraduates in control engineering and operations research.

Probabilistic Analysis of Belief Functions

Автор: Kramosil Ivan
Название: Probabilistic Analysis of Belief Functions
ISBN: 030646702X ISBN-13(EAN): 9780306467028
Издательство: Springer
Рейтинг:
Цена: 14629 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume is a highly theoretical and mathematical study analyzing the notion and theory of belief functions, also known as the Dempster-Shafer theory, from the point of view of the classical Kolmogorov axiomatic probability theory. In other terms, the theory of belief functions is taken as an interesting, non-traditional application of probability theory, and the standard methodology of probability theory, and measure theory in general, is applied in order to arrive at some new and perhaps interesting generalizations and results not accessible within the classical combinatorial framework of the theory of belief functions (Dempster-Shafer theory) over finite spaces. The relation to great systems and their theory seems to be very close and should become clear from the first two chapters of the book.


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