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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.
- Sales Rank: #285341 in Books
- Brand: Brand: Wiley
- Published on: 2006-03-03
- Original language: English
- Number of items: 1
- Dimensions: 10.10" h x .80" w x 8.00" l, 2.10 pounds
- Binding: Hardcover
- 420 pages
- Used Book in Good Condition
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.
Most helpful customer reviews
1 of 1 people found the following review helpful.
interesting book ,practical topics
By elmiramb
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.
1 of 1 people found the following review helpful.
Review 1
By ST1
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.
1 of 1 people found the following review helpful.
A very good textbook for Structural reliability starters!
By Y. Zou
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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