Risk Analysis: A Quantitative Guide

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Summary: A lot of errors. !!!
Review: A book with a lot of errors in the formules i.e. pag 27, pag 88, pag 90 etc... It's incredible that a publisher like Wiley dont't control the printing of some books. BOOK NOT RECOMENDED

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Summary: Best Book for Quantitative Risk Analysis
Review: I believe that this book is the best of many Risk Analysis books. The book's structure, starting from fundamental topics and guiding to advanced topics, is excellent. So, I translated this book into Japanese! You will make the best use of the book with Excel add-in Monte Carlo simulation software like @Risk and Crystal ball that you can get its trial version from the vendor's site(free!). But, the value of this book is not decreased with its sophistitated notation even if you don't have such software. You can enjoy the logic of Quantitative Risk Analysis. Now, the author is preparing his original software. I hope it will be as valuable as this book.

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Summary: Risk Analysis: A Quantitative Guide
Review: I purchased this book to learn to write simulation equations in excel but only found it was a manual ( type book ) with good information for a very expensive software I did not have....If you have RISK software, it is a great book to have... I returned my copy w/o scanning the entire book.

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Summary: Excellent Text for Applied Risk Engineers
Review: I work in the field of risk and reliability engineering and I am thoroughly impressed by this book. This is especially useful for engineers who are not used to working with probability theory. Although many of the examples are from the health sciences, the methodology can be applied to engineering problems as well. It's worth the price, though I would like to see more examples using Crystal Ball software. I would also like to see more information on probabilistic risk assessment methods like event trees and it's implementation in Excel / Crystal Ball.

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Summary: Highly Recommended!
Review: The only "user friendly" text on this topic of which I am aware. The book is written in concise and understandable language and contains numerous examples, spreadsheets, charts and formulae that are essential to anyone that desires a working knowledge of risk analysis. Minor errors in the content detractlittle from the value of this work

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Summary: Highly Recommended!
Review: The only "user friendly" text on this topic of which I am aware. The book is written in concise and understandable language and contains numerous examples, spreadsheets, charts and formulae that are essential to anyone that desires a working knowledge of risk analysis. Minor errors in the content detract little from the value of this work

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Summary: Rigouros, clear and practical
Review: This book gives a deep insight into the state of the art and recent developments of quantitative risk analysis using simulation methods. Describes topics such as second order risk analysis I never heard about before. I used the knowledge drawn from this book to write some technical papers (published on peer-reviewed journals and seminars proceedings). Specialized software, such as @-risk and crystal ball is not strictly needed to carry out the risk-analysis systems suggested by the author (but pretty advanced skills with excel or use of math softwares are required). The specific subject of the book is risk modelling by Monte Carlo Simulation and Bayesan analysis; it does not deal with fuzzy models or other uncertainty-propagation methods. I highly reccomend this book to anyone interested into the specific subject.

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Summary: An excellent guide and primer - clear and concise.
Review: This text provides an excellent primer for those interested in the field of Monte Carlo modelling, but without a strong background in mathematics/statistics. The text is extremely concise and well expressed, and leads the reader through each aspect of quantitative risk analysis without burdening him/her with unnecessary detail nor explanation. I believe that this book will prove to be tremendously useful for all those approaching the subject of quantitative risk analysis, or those who wish to be able to better understand the results of analyses conducted by others. Sam Beckett, Massey University, New Zealand

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Summary: 1st edition more useful to a practitioner than the 2nd
Review: Unlike in the first edition, the author seems to have tried his best to eliminate any reference to any simulation software in the second edition. Result: it now reads like any academic simulation text, only less. The first edition wasn't broke. Why fix it? Bring back the classic Vose!

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Summary: An excellent introduction to risk analysis
Review: Vose's book "Quantitative Risk Analysis; A Guide to Monte Carlo Simulation Modelling" is an excellent introduction to practical quantitative risk analysis. The book is written in a clear and concise style, refreshing to read and easy to assimilate. The text is practical and techniques are illustrated with useful, practical examples.The book has proven immensely useful in my work. The text is marred by a number of typographical errors, 9 by my count. These typos are a reflection on the typesetting and editing rather than on the technical value of this excellent book. I have no hesitation in recommending Vose's "Quantitative Risk Analysis" to anyone who wants to learn about the application of Monte Carlo simulation modelling to problems of risk analysis. Stuart C MacDiarmid BVSc, Ph