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Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering (v. 1) Hardcover – March 3, 2006

ISBN-13: 978-0471720645 ISBN-10: 047172064X Edition: 2nd

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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 10.3 inches
  • Shipping Weight: 2.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (13 customer reviews)
  • Amazon Best Sellers Rank: #319,263 in Books (See Top 100 in Books)

Editorial Reviews

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.

Customer Reviews

I bought it for my class that requires exactly this book!
Stanley
The book is very good in providing an introductory explanation on issues related to probability concepts and reliability based design used in everyday jobs.
ST1
This text is very good for mechanical engineers as well as civils.
Skaven

Most Helpful Customer Reviews

1 of 1 people found the following review helpful By Y. Zou on September 25, 2009
Format: Hardcover Verified Purchase
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.
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Recieved in a good condition, useful topics, needed textbook for probability course.Comprehensive in "Analytical models of random phenomena" and "function of random variables" topics, includes Matlab codes for Monte carlo sampling(easy codes).
One chapter for "regression and correlation analysis" which is easy to understand.
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By ST1 on May 6, 2011
Format: Hardcover
The book is very good in providing an introductory explanation on issues related to probability concepts and reliability based design used in everyday jobs.

Even if it is introductory, it is sufficient for regular structural and geotecnical engineering tasks.

The Matlab codes are also very useful.
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By Mak on February 15, 2014
Format: Hardcover Verified Purchase
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?
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By I. Klein on March 15, 2014
Format: Hardcover Verified Purchase
I was disappointed because I expected examples of probability concepts applied to environmental engineering, but there is none in the book. Maybe there is no such book yet.
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Format: Hardcover Verified Purchase
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!
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Terrible book. I don't know why any civil engineering department would even make this required. You'd be better off searching each topic and learning online.
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Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering (v. 1)
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