Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2e Instructor Site PDF Download
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Author: Alfredo H-S. Ang
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 428
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Book 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.
Author: Alfredo H-S. Ang
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 428
Get Book Here
Book 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.
Author: Dong Yuan
Publisher: Newnes
ISBN: 0124078796
Category : Computers
Languages : en
Pages : 128
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Book Description
Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. - Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users - Describes several novel strategies for storing application datasets in the cloud - Includes real-world case studies of scientific research applications - Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users - Describes several novel strategies for storing application datasets in the cloud - Includes real-world case studies of scientific research applications
Author: Sean Tunney
Publisher: Liverpool University Press
ISBN: 1836241372
Category : Political Science
Languages : en
Pages : 361
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Book Description
Provides an analytical account of the implications of interactive participation in the construction of media content. This work seeks to critically assess Internet news production. It is suitable for those engaged in the debate over Web reporting and citizen journalism.
Author: David Pravica
Publisher: Jones & Bartlett Learning
ISBN: 0763779466
Category : Mathematics
Languages : en
Pages : 521
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Book Description
Part of the International Series in Mathematics Mathematical Modeling for the Scientific Method is intended for the sophomore/junior-level student seeking to be well-grounded in mathematical modeling for their studies in biology, the physical sciences, engineering, and/or medicine. It clarifies the connection between deductive and inductive reasoning as used in Mathematics and Science and urges students to think critically about concepts and applications. The authors’ goal is to be introductory in level while covering a broad range of techniques. They unite topics in statistics, linear algebra, calculus and differential equations, while discussing how these subjects are interrelated and utilized. Mathematical Modeling for the Scientific Method leaves students with a clearer perspective of the role of mathematics within the sciences and the understanding of how to rationally work through even rigorous applications with ease.
Author: Zellman Warhaft
Publisher: Cambridge University Press
ISBN: 9780521589277
Category : Science
Languages : en
Pages : 268
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Book Description
This book is an introduction to thermodynamics, fluid mechanics, heat transfer, and combustion for beginning engineering students.
Author: Noureddine Benkeblia
Publisher: CRC Press
ISBN: 143982505X
Category : Nature
Languages : en
Pages : 533
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Book Description
Taking a broad and innovative informational approach, Sustainable Agriculture and New Biotechnologies is the first book to apply omic technologies to address issues related to understanding and improving agricultural sustainability in the food production process. The transformation from industrial to sustainable agriculture is discussed within the
Author: Claire A. Hill
Publisher: Edward Elgar Publishing
ISBN: 1781005214
Category : Law
Languages : en
Pages : 497
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Book Description
Comprising essays specially commissioned for the volume, leading scholars who have shaped the field of corporate law and governance explore and critique developments in this vibrant and expanding area and offer possible directions for future research. This important addition to the Research Handbooks in Law and Economics series provides insights into subjects such as the role of directors, shareholders, creditors and employees; empirical studies of litigation and shareholder activism; executive compensation; corporate gatekeepers; comparative law; and behavioral approaches to law and finance. Topics are organized within five sections: corporate constituencies, insider governance, gatekeepers, jurisdiction, and new theory. Taken as a whole, the volume serves as an introduction for those new to the field and as a reference for those unfamiliar with some of the topics discussed. Authoritative and accessible, the Research Handbook on the Economics of Corporate Law will be a valuable resource for students, scholars, and practitioners of corporate law and economics.
Author: Bryan Dodson
Publisher: John Wiley & Sons
ISBN: 1118796195
Category : Mathematics
Languages : en
Pages : 275
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Book Description
Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.
Author: Donald Kennedy
Publisher: Island Press
ISBN: 1597266248
Category : Science
Languages : en
Pages : 217
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Book Description
How often in today's environmental debates have you read that "the science is in dispute"-even when there is overwhelming consensus among scientists? Too often, the voice of science is diminished or diluted for the sake of politics, and the public is misled. Now, the most authoritative voice in U.S. science, Science magazine, brings you current scientific knowledge on today's most pressing environmental challenges, from population growth to climate change to biodiversity loss. Science Magazine's State of the Planet 2006-2007 is a unique contribution that brings together leading environmental scientists and researchers to give readers a comprehensive yet accessible overview of current issues. Included are explanatory essays from Science magazine editor-in-chief Donald Kennedy that tie together the issues and explore the relationships among them. Each of the book's 18 chapters is written by the world's leading experts, such as: Joel Cohen on population Peter Gleick on water Daniel Pauly on fisheries Thomas Karl on climate change science Paul Portney on energy and development Elinor Ostrom and Thomas Dietz on commons management Interspersed throughout are Science news pieces that highlight particular issues and cases relevant to the main scientific findings. An added feature is the inclusion of definitions of key terms and concepts that help students and nonspecialists understand the issues. Published biennially, State of the Planet is a clear, accessible guide for readers of all levels-from students to professionals.
Author: Roy D. Yates
Publisher: John Wiley & Sons
ISBN: 1118324560
Category : Mathematics
Languages : en
Pages : 514
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Book Description
This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first five chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester.
