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Engineering Statistics

Engineering Statistics

Engineering Statistics
By Douglas C. Montgomery, George C. Runger, Norma F. Hubele

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Book Description

Focusing on how statistical tools are integrated into the engineering problem-solving process, this book provides modern coverage of engineering statistics. It presents a wide range of techniques and methods that engineers will find useful in professional practice. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, building regression models, designing and analyzing engineering experiments, and more.

Book Details

  • Amazon Sales Rank: #850401 in Books
  • Published on: 2006-12-26
  • Ingredients: Example Ingredients
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.16" h x .99" w x 8.31" l, 2.21 pounds
  • Binding: Hardcover
  • 512 pages

Editorial Reviews

From the Back Cover
The statistics every engineer should know

Statistics is essential for solving many types of engineering problems. Focusing on the statistical techniques most often used in engineering practice, Montgomery, Runger, and Hubele’s Engineering Statistics, Fourth Edition presents a wide range of techniques and methods that you’ll be able to call upon in your professional capacities.

Through its three previous editions, Engineering Statistics set the standard for statistical texts serving engineers. This Fourth Edition follows the classic’s winning approach, and provides a host of new features and improvements that you’ll appreciate. Developed initially with sponsorship from the National Science Foundation, this revision covers all the major aspects of engineering statistics including:

  • Descriptive statistics
  • Probability and probability distributions
  • Statistical tests and confidence intervals for one and two samples
  • Building regression models
  • Designing and analyzing engineering experiments
  • Statistical quality control 

The new edition also features numerous enhancements that help you grasp and absorb the material. Emphasizing data analysis and statistical inference, the text makes use of new, cross-sections of real engineering situations and real data sets and takes a step-by-step approach so that you gain insight into the underlying structure of the problems as you master the problem-solving techniques. Notes which help you interpret results are a particularly useful feature of the revised text.

With comprehensive integration of the PC-based statistical software Minitab and online support through WileyPLUS, this newest edition of Engineering Statistics will serve as a practical introduction for students and a reliable reference for every stage of your engineering career.

About the Author
Douglas C. Montgomery, Regents’ Professor of Industrial Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees in engineering from Virginia Polytechnic Institute, the editor of Quality and Reliability Engineering International and a former editor of the Journal of Quality Technology.

George C. Runger, Ph.D., is a Professor in the department of Industrial Engineering at Arizona State University. His research is on data mining, real-time monitoring and control, and other data-analysis methods with a focus on large, complex, multivariate data streams. His work is funded by grants from the National Science Foundation and corporations. In addition to academic work, he was a senior engineer at IBM. He holds degrees in industrial engineering and statistics.

Norma Faris Hubele, Professor of Engineering and Statistics at Arizona State University, and Director of Strategic Initiatives for the Ira A. Fulton School of Engineering, has taught and done research at the University level and with industry for over 20 years. Her cutting edge educational research has been supported by the National Science Foundation and is reflected in this textbook.

Customer Reviews

Most helpful customer reviews

2 of 2 people found the following review helpful.
3but what I really liked about this book was how they organized the chapters ...
By Dabin Kim
Some of the chapters of the book is quite hard to follow what the author was trying to say, but what I really liked about this book was how they organized the chapters and the problems. After each chapter, there were many practice questions and they contributed to what was covered in the previous pages. I also liked how they had important notes and equations in green boxes which made it really easy to study. One improvement they could have done was the chapter with the chi-distribution. That chapter was hard to follow and the way they explained the p-values was a little confusing.

1 of 1 people found the following review helpful.
2it doesn't seem like an engineer was consulted in the writing of the ...
By Christopher H.
I did NOT find this textbook helpful at all. The senior year of my engineering program, we had to use this book in a statistics class and it was so frustrating! First of all, it doesn't seem like an engineer was consulted in the writing of the book AT ALL! They try to use engineering terms and sometimes get it right. But the majority of the time the terms were used incorrectly.

There are also way too many incorrect answers in the back of the book. I would try to check my answer with the back and be wrong and then spend the next hour trying to figure out what I did when I had been right all along.

This was not a good learning resource. I don't recommend it.

1 of 1 people found the following review helpful.
4Great book choice
By jonathan edgington
This book is great for any engineer that wishes to get firm understanding of statistics. As a student in engineering this book will continue to be with me long after I graduate to assist with understanding and as reference resource to find and use other statistical formulations with data collections and resultants.

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