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Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering (v. 1) By Alfredo H-S. AngWilson H. Tang ( Wiley )
Release Date: 2006-03-03
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Price: $104.74
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Product Description
Apply the principles of probability and statistics to realistic engineering problems
The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That's why Ang and Tang's Second Edition of Probability Concepts in Engineering (previously titled Probability Concepts in Engineering Planning and Design) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering.
Now extensively revised with new illustrative problems and new and expanded topics, this Second Edition will help you develop a thorough understanding of probability and statistics and the ability to formulate and solve real-world problems in engineering. The authors present each basic principle using different examples, and give you the opportunity to enhance your understanding with practice problems. The text is ideally suited for students, as well as those wishing to learn and apply the principles and tools of statistics and probability through self-study.
Key Features in this 2nd Edition:
* A new chapter (Chapter 5) covers Computer-Based Numerical and Simulation Methods in Probability, to extend and expand the analytical methods to more complex engineering problems.
* New and expanded coverage includes distribution of extreme values (Chapter 3), the Anderson-Darling method for goodness-of-fit test (Chapter 6), hypothesis testing (Chapter 6), the determination of confidence intervals in linear regression (Chapter 8), and Bayesian regression and correlation analyses (Chapter 9).
* Many new exercise problems in each chapter help you develop a working knowledge of concepts and methods.
* Provides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts.
* Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as MATLAB and MATHCAD.
* Introduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.
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 One of the most well written engineering texts ( deafnessashout )
A great collection of both fundamental and advanced probability concepts as applied to civil engineering design situations. This textbook was extremely useful during my undergraduate and graduate courses in probability as well as in more specialized courses in wind and seismic engineering. More importantly, I still find myself using this text now that I am out of college.
Wounderfully written textbook on a classic topic in engineering that will withstand the changes in technology and still prevail as some of the most important fundamentals in design methodology.
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Indispensable Reference ( baldego )
An indispensable reference book, it provides a great balance of theory, worked examples, and exercises that thoroughly explain basic concepts of probability and risk as encountered in Civil and Environmental Engineering. The first edition has been within arm's reach on my book shelf for 30 years. I wish all my engineering texts were so well written.
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 Good Textbook, Limited Value Otherwise
This is a good textbook for teaching, and not as good of a source for research for real world application reference material, which is what I try to maintain a library to utilize. Very basic material coverage, good for students.
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Indispensable books for safety and reliability engineers ( pvangelder )
Alhough Ang and Tang's Volumes I and II are already over 20 years old, I consider these books as one of the best on probabilistic design methods in civil engineering. The books cover topics such as 'statistical decision analysis (including CBA, MCA, MCDM)', 'queueing models', 'extreme value theory', 'Monte Carlo simulation', 'failure probability calculation' and 'system reliability techniques'. A huge amount of examples are embedded in the theory. They are ideal to be used as examination questions (which the reviewer succesfully does for his courses on 'Probabilistic Design' and 'Probabilistic Design in Hydraulic Engineering' at TU Delft, The Netherlands).
Civil engineers with an interest in design of maritime -, hydraulic - and coastal structures will miss the probabilistic description of sea waves and current loads. The second edition (2000) of Goda may fill this gap (available at Amazon under 981023256X). Engineers interested in probabilistic description of structural dynamics are referred to the second edition (2004) of YK Lin and GQ Cai (available at Amazon under 0071438009). The connection of probability theory with finite element models (one of the reviewer's main fields of interest) is not covered by the above mentioned books. Something for Volume III...?
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Still the best book
I have used this book and Vol 2 in my graduate and undergraduate courses. Having used a variety of texts for teaching and learning about probability and statistics in an engineering context, I would say the two volumes by Ang and Tang have no rivals. Lots and lots of good engineering type problems.
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