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Probabilistic Risk Analysis, Tim Bedford



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Автор: Tim Bedford
Название:  Probabilistic Risk Analysis
Перевод названия: Анализ вероятностных рисков
ISBN: 9780521773201
Издательство: Cambridge Academ
Классификация:
ISBN-10: 0521773202
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
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Поставляется из: Англии
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
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Цена: 13695 р.
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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.

Satisfying Safety Goals by Probabilistic Risk Assessment

Автор: Kumamoto Hiromitsu
Название: Satisfying Safety Goals by Probabilistic Risk Assessment
ISBN: 1846286816 ISBN-13(EAN): 9781846286810
Издательство: Springer
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Цена: 19428 р.
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Описание: Safety is an important issue. International standards such as ISO and IEC advocated goal-based procedures of designing safer systems. This book is a methodological approach to the goal-based safety design procedure. It presents accident statistics and safety goals. It shows how to calculate safety criteria from the PRA models.

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
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Цена: 15111 р.
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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
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Цена: 12699 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.

Probabilistic Logic in a Coherent Setting

Автор: Coletti G., Scozzafava R.
Название: Probabilistic Logic in a Coherent Setting
ISBN: 1402009704 ISBN-13(EAN): 9781402009709
Издательство: Springer
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Цена: 9816 р.
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Описание: The approach to probability theory followed in this book (which differs radically from the usual one, based on a measure-theoretic framework) characterizes probability as a linear operator rather than as a measure, and is based on the concept of coherence, which can be framed in the most general view of conditional probability. It is a `flexible' and unifying tool suited for handling, e.g., partial probability assessments (not requiring that the set of all possible `outcomes' be endowed with a previously given algebraic structure, such as a Boolean algebra), and conditional independence, in a way that avoids all the inconsistencies related to logical dependence (so that a theory referring to graphical models more general than those usually considered in bayesian networks can be derived). Moreover, it is possible to encompass other approaches to uncertain reasoning, such as fuzziness, possibility functions, and default reasoning. The book is kept self-contained, provided the reader is familiar with the elementary aspects of propositional calculus, linear algebra, and analysis.

Probabilistic Logic in a Coherent Setting

Автор: Coletti G., Scozzafava R.
Название: Probabilistic Logic in a Coherent Setting
ISBN: 1402009178 ISBN-13(EAN): 9781402009174
Издательство: Springer
Рейтинг:
Цена: 13859 р.
Наличие на складе: Поставка под заказ.

Описание: The approach to probability theory followed in this book (which differs radically from the usual one, based on a measure-theoretic framework) characterizes probability as a linear operator rather than as a measure, and is based on the concept of coherence, which can be framed in the most general view of conditional probability. It is a `flexible' and unifying tool suited for handling, e.g., partial probability assessments (not requiring that the set of all possible `outcomes' be endowed with a previously given algebraic structure, such as a Boolean algebra), and conditional independence, in a way that avoids all the inconsistencies related to logical dependence (so that a theory referring to graphical models more general than those usually considered in bayesian networks can be derived). Moreover, it is possible to encompass other approaches to uncertain reasoning, such as fuzziness, possibility functions, and default reasoning. The book is kept self-contained, provided the reader is familiar with the elementary aspects of propositional calculus, linear algebra, and analysis.

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
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Цена: 10971 р.
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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 Symmetries and Invariance Principles

Автор: Kallenberg Olav
Название: Probabilistic Symmetries and Invariance Principles
ISBN: 0387251154 ISBN-13(EAN): 9780387251158
Издательство: Springer
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Цена: 20211 р.
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Описание: This is the first comprehensive treatment of the three basic symmetries of probability theory - contractability, exchangeability, and rotatability - defined as invariance in distribution under contractions, permutations, and rotations. Originating with the pioneering work of de Finetti from the 1930's, the theory has evolved into a unique body of deep, beautiful, and often surprising results, comprising the basic representations and invariance properties in one and several dimensions, and exhibiting some unexpected links between the various symmetries as well as to many other areas of modern probability. Most chapters require only some basic, graduate level probability theory, and should be accessible to any serious researchers and graduate students in probability and statistics. Parts of the book may also be of interest to pure and applied mathematicians in other areas. The exposition is formally self-contained, with detailed references provided for any deeper facts from real analysis or probability used in the book.

Probabilistic Modeling in Bioinformatics and Medical Informatics

Автор: Husmeier Dirk, Dybowski Richard, Roberts Stephen
Название: Probabilistic Modeling in Bioinformatics and Medical Informatics
ISBN: 1852337788 ISBN-13(EAN): 9781852337780
Издательство: Springer
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Цена: 21366 р.
Наличие на складе: Поставка под заказ.

Описание: Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.

Probabilistic Techniques in Analysis

Автор: Bass
Название: Probabilistic Techniques in Analysis
ISBN: 0387943870 ISBN-13(EAN): 9780387943879
Издательство: Springer
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Цена: 9927 р.
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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
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Цена: 16294 р.
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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 Analysis of Belief Functions

Автор: Kramosil Ivan
Название: Probabilistic Analysis of Belief Functions
ISBN: 030646702X ISBN-13(EAN): 9780306467028
Издательство: Springer
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Цена: 16169 р.
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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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