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Bayesian Networks for Reliability Engineering

This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN;

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Bayesian Inverse Problems

Gain a fundamental understanding of the use of probabilistic methods and reliability analysis techniques in engineering applications;

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Structural and System Reliability

of the methods of structural and system reliability analysis. It covers the first- and second-order reliability methods for components and;

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Practical Applications of Bayesian Reliability

goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability;

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Applied Mathematics in Engineering and Reliability

in reliability, risk and engineering, including: - Risk and Reliability Analysis Methods - Maintenance Optimization - Bayesian Methods;

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Bayesian Networks

Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main;

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Statistical Reliability Engineering

field, Statistical Reliability Engineering: Covers all mathematical models for statistical reliability analysis, including Bayesian estimation;

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Next Generation and Advanced Network Reliability Analysis

technologies behind currently evolving NGN and apply advanced Markov modeling and Software Reliability Engineering (SRE) techniques for assessing their;

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Flowgraph Models For Multistate Time-To-Event Data

computation, real data, and Bayesian methods for problem solving Real--world examples for analyzing data from stochastic processes The use;

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Reliability and Risk

in recent years Bayesian methods have become key to such quantifications. Reliability and Risk provides a comprehensive overview of the mathematical;

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Applied Civil Engineering Risk Analysis

pertain to problems in Civil Engineering. The new edition adds an expanded treatment of systems reliability, Bayesian methods, and spatial;

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Applied Civil Engineering Risk Analysis

pertain to problems in Civil Engineering. The new edition adds an expanded treatment of systems reliability, Bayesian methods, and spatial;

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Data Uncertainty and Important Measures

The first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling;

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Reliability and Availability Engineering

Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides;

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Models of Network Reliability

reliability models, such as terminal connectivity for networks with unreliable edges and/or nodes, network lifetime distribution in the process of its;

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Models of Network Reliability

reliability models, such as terminal connectivity for networks with unreliable edges and/or nodes, network lifetime distribution in the process of its;

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Uncertainty in Engineering

statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for;

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Fundamentals of Stochastic Networks

This book uniquely combines queuing networks with Bayesian, Boolean, and random networks and provides an interdisciplinary approach by;

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Fundamentals of Reliability Engineering

This book presents fundamentals of reliability engineering with its applications in evaluating reliability of multistage interconnection;

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Bayesian Artificial Intelligence

. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on;

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Bayesian Artificial Intelligence

. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on;

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Statistical Methods for Reliability Data, Second Edition

comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and;

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Probabilistic Graphical Models

. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and;

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Risk and Reliability in Geotechnical Engineering

of different target reliability indices. Explicit risk management methodologies are required for large geotechnical systems where soil and loading;

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Stochastic Models in Reliability Engineering

reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and;

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Bayesian Networks An Introduction

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic;

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Reliability Of Computer Systems And Networks

Shooman draws on his expertise in reliability engineering and software engineering to provide a complete and authoritative look at fault tolerant;

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