To better understand the core concepts of probability and to see how they affect real-world decisions about design and system performance, engineers and scientists might want to ask themselves the following questions: what exactly is meant by probability? What is the precise definition of the 100-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility defined? How do games fit into probability theory? What is entropy? How do I apply these ideas in risk analysis? Starting from the most basic assumptions, this 2005 book develops a coherent theory of probability and broadens it into applications in decision theory, design, and risk analysis. This book is written for engineers and scientists interested in probability and risk. It can be used by undergraduates, graduate students, or practicing engineers.Read more
- Covers risk from an engineering perspective
- Lots of real engineering case studies
- Assumes only basic maths as prerequisite
Reviews & endorsements
Review of the hardback: 'This book takes a very interesting approach to the treatment of uncertainty and its role in decision making. The author, who has extensive background in both academia and industry, uses an intuitive argument whenever possible to derive common laws of probability … This approach has a distinct advantage for such use in contrast to the more traditional mathematical foundation, from which most engineering students are discouraged by a perceived lack of applicability. Based on the author's experience, it seems that the book would fit best into an undergraduate civil engineering curriculum, since applications are focused on decisions for the built environment.' Journal of Engineering MechanicsSee more reviews
Review of the hardback: 'The comprehensiveness of the book is striking. In an impressive manner the author manages to address the beginner as well as providing useful knowledge on advanced topics such as game theory and entropy. … In summary, the author has succeeded in providing an up-to-date and comprehensive text on decision techniques that ought to be extensively used in engineering education and practice. In particular, the current trend toward performance-based engineering and advanced simulation models should be clearly be complemented with probabilistic analysis to account for uncertainties and decision analysis to achieve optimized designs.' Canadian Journal of Civil Engineering
Review of the hardback: '… Ian Jordaan … has made an important contribution to humanity by writing this comprehensive and thoroughly readable textbook on the subject … After reading the book one is much better prepared to recognize and effectively address the decision-making process in ambiguous situations where there is considerable uncertainty and the risks are high.' David A. Breslin
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: July 2011
- format: Paperback
- isbn: 9780521369978
- length: 690 pages
- dimensions: 244 x 170 x 35 mm
- weight: 1.08kg
- availability: Available
Table of Contents
1. Uncertainty and decision-making
2. The concept of probability
3. Distributions and expectation
4. The concept of utility
5. Games and optimization
7. Mathematical aspects
8. Exchangeability and inference
10. Risk, safety and reliability
11. Data and simulation
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.
Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.
Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.
If you are having problems accessing these resources please contact email@example.com.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email firstname.lastname@example.orgRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×