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Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering (v. 1)
Download Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering (v. 1)
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From the Back Cover
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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About the Author
Alfredo H. Ang is currently Professor Emeritus of Civil and Environmental Engineering at the University of California, Irvine.?He recieved is Ph.D. and M.S at the University of Illinois.?He received his B.S. at the Mapua Institute of Technology.
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Product details
Hardcover: 420 pages
Publisher: Wiley; 2 edition (March 3, 2006)
Language: English
ISBN-10: 047172064X
ISBN-13: 978-0471720645
Product Dimensions:
8.2 x 0.8 x 10.2 inches
Shipping Weight: 2.1 pounds (View shipping rates and policies)
Average Customer Review:
4.1 out of 5 stars
19 customer reviews
Amazon Best Sellers Rank:
#80,944 in Books (See Top 100 in Books)
The book had not a scratch, unlike the books shipped by Amazon, and is the second edition, not v.1 as the product title may suggest, so I was happy about the order. The book itself though leaves much to be desired. It goes straight into theory, so if you need practice with basic statistical concepts (the likelihood of winning a lottery ticket, for example), look elsewhere. Also, in-text examples often do not explicitly state the question, so if you want to practice while reading the text or even after you've read it, you're out of luck. It's competently written, so you'll learn something, but it needs an update. And way more rounding and calculation errors than I've ever seen in a math book.
Great book to learn stats.
I found this book to have useful examples and reasonable problems. It wasn't my favorite book, but then I saw some of the other books used for the class and I was stoked!
Very good text for probabilistic engineering design. Amazing examples. This text is very good for mechanical engineers as well as civils.
I think the in-text explanations can be improved, but it makes more sense to me when I work on the examples which are plenty in this textbook. I couldn't find the answer keys to the problems that are at the end of the chapter. So how can I check if I am right or wrong on those problems?
My Structural reliability course use this book as textbook. The author of this book is very famous in this field, and I think this book would be a very good choice to start your study on reliability.
Good
book in a very good condition. no hand-marking inside.
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