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Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition by Bilal M. Ayyub β€” book cover

Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition

by Bilal M. Ayyub, Richard H. McCuen
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Overview

In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.

Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making.

The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods.

Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.

About the Author, Bilal M. Ayyub

Bilal M. Ayyub is a professor of civil and environmental engineering and the director of the Center for Technology and Systems Management in the A. James Clark School of Engineering at the University of Maryland, where he has been since 1983. He is a leading authority in risk analysis, uncertainty modeling, decision analysis, and systems engineering. Dr. Ayyub earned degrees from Kuwait University and the Georgia Institute of Technology. He is a fellow of the ASCE, the ASME, and the SNAME, and a senior member of the IEEE. Dr. Ayyub has served on many national committees and investigation boards and completed numerous research and development projects for governmental and private entities, including the National Science Foundation; the U.S. Air Force, Coast Guard, Army Corps of Engineers, Navy, and Department of Homeland Security; and insurance and engineering firms. He has received multiple ASNE Jimmie Hamilton Awards for best papers in the Naval Engineers Journal, the ASCE Outstanding Research-Oriented Paper in the Journal of Water Resources Planning and Management, the ASCE Edmund Friedman Award, the ASCE Walter Huber Research Prize, the K.S. Fu Award of NAFIPS, and the Department of the Army Public Service Award. Dr. Ayyub is the author/co-author of more than 550 publications in journals, conference proceedings, and reports, as well as 20 books, including Uncertainty Modeling and Analysis for Engineers and Scientists; Risk Analysis in Engineering and Economics; Elicitation of Expert Opinions for Uncertainty and Risks; Probability, Statistics and Reliability for Engineers and Scientists, Second Edition; and Numerical Methods for Engineers.

Richard H. McCuen is the Ben Dyer Professor of civil and environmental engineering at the University of Maryland. Dr. McCuen earned degrees from Carnegie Mellon University and the Georgia Institute of Technology. His primary research interests are statistical hydrology and stormwater management. He has received the Icko Iben Award from the American Water Resource Association and was co-recipient of the Outstanding Research Award from the ASCE Water Resources, Planning and Management Division. He is the author/co-author of over 250 professional papers and 21 books, including Fundamentals of Civil Engineering: An Introduction to the ASCE Body of Knowledge; Modeling Hydrologic Change; Hydrologic Analysis and Design, Third Edition; The Elements of Academic Research; Estimating Debris Volumes for Flood Control; and Dynamic Communication for Engineers.

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Editorials

Mary Richardson

This book is intended as a text for a one- or two- semester undergraduate introductory course in probability, statistics, and reliability with an emphasis on applications. The authors state that Probability, Statistics, and Reliability for Engineers was developed with an emphasis on engineering and technological problems.....and is intended to better prepare future engineers, as well as assist practicing engineers, in understanding the fundamentals of probability, statistics, and reliability methods, especially thier applications, limitations, and potentials.

Overall, Probability, Statistics, and Reliability for Engineers does a good job presenting real-life examples to illustrate each new concept, but not enough basic, nonapplied examples are given and absolutely no theory is presented to support any of the concepts introduced. It is my opinion that the reader would need prior exposure to statistical concepts in order to read, comprehend, and learn from this book.

Booknews

This textbook for a first-course in the subject emphasizes the proper treatment of uncertainty to make the best decisions, and uses practical examples, such as time to failure of cranes, discharge and flow of rivers, hydraulic pump reliability, predicting defects in manufacturing, nuclear reactor reliability, and traffic flow patterns. Topics include Taylor series expansion; graphical analysis of data; the probabilistic characteristics of functions of random variables; parameter estimation, hypothesis testing, confidence-interval estimation, sample-size determination; Monte Carlo simulation; and Bayesian methods in engineering. Annotation c. by Book News, Inc., Portland, Or.

Book Details

Published
May 17, 2011
Publisher
CRC Press
Pages
663
Format
Hardcover
ISBN
9781439809518

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