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 | | Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition by Bilal M. Ayyub, Richard McCuen ISBN-10: 9781584882862 ISBN-10: 1-58488-286-7 ISBN-13: 9781584882862 ISBN-13: 978-1-58488-286-2 Hardcover 2002-06-26 Chapman and Hall/CRC Find Lowest Price |
Editorials | ||
Product Description 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.The second edition of this bestselling text introduces 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. It 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 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.Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition, was designed as both a reference and as a textbook, and it serves each purpose well. Ultimately, readers will find its content of great value in problem solving and decision making, particularly in practical applications. | ||
Reviews | ||
worth the time I recently read the first edition of this book. There are some things I understand now which I didn't understand when I read descriptions of the same material in other statistics textbooks. I didn't put forth the effort to try to understand everything the book had to say, but even my cursory reading added to my meagre but growing store of knowledge. | ||
dry and uninspiring One would hope that the title implied a book particularly slanted towards real-world practitioners. But the book essentially only offers standard introductory material. And it does a poor job at that. Despite starting out with the basics, the text tends to be dry and not particularly descriptive. There are too many examples - often verbose & repetitious - that simply give numbers for direct plug-n-churn into a preceding equation. Another big problem with the examples is that they are without exception about things like "stream erosion", "foundation settlement", or "water evaporation". Such unfamiliar and inherently "soft" notions just add extra unnecessary cognitive impedance to understanding the main object of an example. I'm sure this is true even for a 2-nd year Civil Eng student. | ||
Needs more meat I teach this material myself and I don't feel the authors met there objectives of a practical, useful introduction to the topics of probability, statistics, and reliability. This book would be difficult to follow outside of a classroom, or without a good background in the course material already. The introduction begins with a short essay on education and types of ignorance. I found the discussion quite interesting, and then the introduction jumps to the topic of simulation??? This strangle development flow is present throughout the book. I often liked the beginning of sections, while not liking the development of details latter in the section / chapter. In many cases the details are at a high or advanced level with no transition or gradual ramping up from the introduction. So much material is covered that very few sections have complete coverage. Details are often missing, that is, more than this text will be required to solve common probability, statistics, and reliability problems. I did find many of the examples interesting, and learned a few new things, again, because I already possessed a good background in the material. Each chapter also ends with interesting suggested computer simulation assignments. | ||
Great Qualitative Text This is a great qualitative text written from a civil and environmental background. As a civil engineer taking a statistics course that was taught from a mechanical and industrial viewpoint, this book presented text and exapmles that came more naturally to me. Some of the qualitative aspects of the book could use improvement, and may make it difficult for use as a primary text book. | ||
Systemic Context Ayyub provides an excellent systemic context for the exposition of reliability theory, especially as it relates to applications for decision-makers and decision-making. The mathematical basis of reliability in probability and statisitics is clearly presented and is suitable for engineering students and managers. | ||