1# Library to Find Best eBook for Read
Author : Tim Bedford
Release : 2001-04-30
Genre : Mathematics
Kind : eBook
Book Rating : 201/5 ( reviews)
Book Synopsis Probabilistic Risk Analysis by : Tim Bedford
Download or read book Probabilistic Risk Analysis written by Tim Bedford. This book was released on 2001-04-30. Available in PDF, EPUB and Kindle. Book excerpt: A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.
Author : M. Stewart
Release : 1997-11-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 707/5 ( reviews)
Book Synopsis Probabilistic Risk Assessment of Engineering Systems by : M. Stewart
Download or read book Probabilistic Risk Assessment of Engineering Systems written by M. Stewart. This book was released on 1997-11-30. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic risk and hazard assessments are applied to a wide range of engineering systems, mainly for regulatory reasons needed for development consent, system certification and occupational health and safety issues. The purpose of this book is to raise awareness of the limitations, uncertainties and other issues inherent in probabilistic risk analysis procedures. Probabilistic Risk Assessment of Engineering Systems describes: the importance of probabilistic risk assessment in decision making, i.e. risk management; types of risk and probabilistic risk analysis procedures; data needed for the conduct of probabilistic risk analysis; and acceptable/tolerable risk and other risk acceptance criteria. In essence, the book provides a multi-disciplinary and integrated explanation of risk assessment procedures that will enable the non-specialist reader to gain valuable insights into the development of risk analysis procedures. Practising engineers and graduate engineering students across a range of disciplines will find this book immensely useful.
Author : Mohammad Modarres
Release : 2016-04-27
Genre : Mathematics
Kind : eBook
Book Rating : 496/5 ( reviews)
Book Synopsis Risk Analysis in Engineering by : Mohammad Modarres
Download or read book Risk Analysis in Engineering written by Mohammad Modarres. This book was released on 2016-04-27. Available in PDF, EPUB and Kindle. Book excerpt: Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p
Author : Igor Rychlik
Release : 2006-10-07
Genre : Mathematics
Kind : eBook
Book Rating : 210/5 ( reviews)
Book Synopsis Probability and Risk Analysis by : Igor Rychlik
Download or read book Probability and Risk Analysis written by Igor Rychlik. This book was released on 2006-10-07. Available in PDF, EPUB and Kindle. Book excerpt: This text presents notions and ideas at the foundations of a statistical treatment of risks. The focus is on statistical applications within the field of engineering risk and safety analysis. Coverage includes Bayesian methods. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper understanding of the role of probability in risk analysis. The text is written for students who have studied elementary undergraduate courses in engineering mathematics, perhaps including a minor course in statistics. This book differs from typical textbooks in its verbal approach to many explanations and examples.
Author : Dana Kelly
Release : 2011-08-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 875/5 ( reviews)
Book Synopsis Bayesian Inference for Probabilistic Risk Assessment by : Dana Kelly
Download or read book Bayesian Inference for Probabilistic Risk Assessment written by Dana Kelly. This book was released on 2011-08-30. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis “building blocks” that can be modified, combined, or used as-is to solve a variety of challenging problems. The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. Bayesian Inference for Probabilistic Risk Assessment also covers the important topics of MCMC convergence and Bayesian model checking. Bayesian Inference for Probabilistic Risk Assessment is aimed at scientists and engineers who perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.
