{"product_id":"probability-concepts-in-engineering-isbn-9780471720645","title":"Probability Concepts in Engineering","description":"\u003cp\u003e\u003cb\u003eApply the principles of probability and statistics to realistic engineering problems\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe material in the book is intended for a first course on applied probability and statistics for engineering students at the sophomore or junior level, or for self study, stressing probabilistic modeling and the fundamentals of statistical inferences. The primary aim is to provide an in-depth understanding of the fundamentals for the proper application in engineering problems.\u003c\/p\u003e \u003cp\u003eThe second edition of this well-known book (previously titled \u003ci\u003eProbability Concepts in Engineering Planning and Design\u003c\/i\u003e) by Alfredo Ang and Wilson Tang, two world-renowned educators, has been revised to simplify understanding the fundamentals of probability and statistics for engineering students. The second edition includes many new and expanded topics, including hypothesis testing and confidence intervals in regression analysis. Students using this text will develop the ability to formulate and solve real-world problems in engineering. The authors accomplish this by explaining all the concepts and methods through a variety of relevant engineering and physical problems.\u003c\/p\u003e \u003cp\u003eEach basic principle is presented and illustrated through different examples relevant to engineering and the physical sciences, particularly civil and environmental engineering.  The exercise problems in each chapter further enhance understanding of basic concepts and reinforce a working knowledge of concepts and methods. The authors firmly believe that the easiest and most effective way for engineers to learn and master a new set of abstract principles is to apply them to a variety of applications.\u003c\/p\u003e  Chapter 1 -\u003cbr\u003e Role of Probability and Statistics in Engineering\u003cbr\u003e Chapter 2 -- Fundamentals of Probability Models\u003cbr\u003e Chapter 3 -- Analytical Models of Random Phenomena\u003cbr\u003e Chapter 4 -- Functions of Random Variables\u003cbr\u003e Chapter 5 -\u003cbr\u003e Computer-Based Numerical and Simulation Methods in Probability\u003cbr\u003e Chapter 6 -- Statistical Inferences from Observational Data\u003cbr\u003e Chapter 7 -- Determination of Probability Distribution Models\u003cbr\u003e Chapter 8 -- Regression and Correlation Analyses\u003cbr\u003e Chapter 9 -- The Bayesian Approach\u003cbr\u003e Chapter 10 -\u003cbr\u003e Elements of Quality Assurance and Acceptance Sampling\u003cbr\u003e (Available only online at the Wiley web site)\u003cbr\u003e Appendices:\u003cbr\u003e Table A.1 -- Standard Normal Probabilities\u003cbr\u003e Table A.2 -\u003cbr\u003e CDF of the Binomial Distribution\u003cbr\u003e Table A.3 -\u003cbr\u003e Critical Values of t Distribution at Confidence Level (1- a)=p\u003cbr\u003e Table A.4 -\u003cbr\u003e Critical Values of the c2 Distribution at Confidence Level (1-a)=pTable A.5 -\u003cbr\u003e Critical Values of Dna at Significance Level a in the K-S Test\u003cbr\u003e Table A.6 -\u003cbr\u003e Critical Values of the Anderson-Darling Goodness-of-fit Test\u003cbr\u003e (for 4 specific distributions) \u003cp\u003e\u003cb\u003eALFREDO H-S. ANG\u003c\/b\u003e is currently Professor Emeritus of Civil and Environmental Engineering at the University of California, Irvine. He received his Ph.D. and M.S. at the University of Illinois. He received his B.S. at the Mapua Institute of Technology.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eWILSON H. TANG,\u003c\/b\u003e Chair Professor, Hong Kong University of Science \u0026amp; Technology.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eApply the principles of probability and statistics to realistic engineering problems\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe 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 \u003ci\u003eProbability Concepts in Engineering\u003c\/i\u003e (previously titled \u003ci\u003eProbability Concepts in Engineering Planning and Design\u003c\/i\u003e) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering.\u003c\/p\u003e \u003cp\u003eNow 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eKey Features in this \u003ci\u003e2nd Edition\u003c\/i\u003e:\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA 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.\u003c\/li\u003e \u003cli\u003eNew 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).\u003c\/li\u003e \u003cli\u003eMany new exercise problems in each chapter help you develop a working knowledge of concepts and methods.\u003c\/li\u003e \u003cli\u003eProvides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts.\u003c\/li\u003e \u003cli\u003eIllustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as \u003ci\u003eMATLAB\u003c\/i\u003e and \u003ci\u003eMATHCAD\u003c\/i\u003e.\u003c\/li\u003e \u003cli\u003eIntroduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.\u003c\/li\u003e \u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989857878245,"sku":"NP9780471720645","price":210.5,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471720645.jpg?v=1761785697","url":"https:\/\/k12savings.com\/es\/products\/probability-concepts-in-engineering-isbn-9780471720645","provider":"K12savings","version":"1.0","type":"link"}