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Applied Statistics and Probability for Engineers [Hardcover]

Douglas C. Montgomery , George C. Runger

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Book Description

March 23 2010 0470053046 978-0470053041 5
Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

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‘Readers will find the content of the book to be useful in engineering problem solving and decision making.’ (Zentralblatt MATH,1102,May 2007) --This text refers to an alternate Hardcover edition.

From the Inside Flap

Douglas C. Montgomery, Professor of Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering, from 1969 to 1984 he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988 he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering.

Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He has authored and coauthored many technical papers in these fields and is an author of twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute. He is a Stewart Medallist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals. --This text refers to an alternate Hardcover edition.

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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Amazon.com: 3.8 out of 5 stars  22 reviews
14 of 17 people found the following review helpful
1.0 out of 5 stars Atrocious. April 1 2012
By John - Published on Amazon.com
Format:Hardcover|Verified Purchase
Other reviews have said all the problems. The book, the solutions manual, the accompanied online homework all of the are loaded with errors, numerical and grammatical. Also the accompanied home has an awkward user interface and is not very well thought through. Also the questions you answer have several answers per submission so if you get 1 out of 8 wrong the whole question is wrong. On top of all the answers the book is uninformative. I understand that some of this material is a little complex but if you read through a section and don't know what to do when you reach the questions, there's a problem. Also, some of the questions require you to use formulas that ARE NOT IN THE BOOK. For many questions i had to used google to find the formula. It's disgusting how much this book costs because its not worth it weight in ANYTHING. Too bad zero 0 stars is not possible.

9 of 11 people found the following review helpful
5.0 out of 5 stars Best introductory statistics book for engineers March 22 2012
By J. Felipe Ortega Soto - Published on Amazon.com
There is a very long list of introductory statistics textbooks, mainly because this is a required subject for many different undergraduate courses. Publishers usually target specific audiences (students in Engineering, Social Sciences, Psychology, Economy, etc.). I have worked with many different introductory stats textbooks and I still keep Montgomery and Runger's volume as my top choice *for engineers* (this is an important remark).

My reasons for this very positive review:

* The authors undertake a good mathematical treatment of most of the topics included, without sacrificing readability and clarity. Engineering students are supposed to have at least some competency in linear algebra and calculus, and this is enough to follow this text.

* The book covers all necessary introductory statistics topics for engineers, including univariate and joint probability distributions, sampling, statistical inference, simple and multiple linear regression as well as ANOVA and experiments with multiple factors. Admitedly, I think that Chapter 6 about sampling and descriptive statistics should have been expanded to include other popular EDA graphs and techniques, but overall I think the book offers a good balance between width and depth of coverage.

* Authors also put strong emphasis in warning against common pitfalls and misunderstandings, not only explaining the failure but also the reasons to understand why that is incorrect. One of my favourite examples is the explanation of why the sample variance must be divided by "n-1" instead of "n", since this point is badly missing in many other introductory texts and students usually get confused about it.

* The content is exemplary well organized. Important terms highlighted, featured frames with relevant definitions, all formulae correctly numbered and referenced. No doubt the authors and editors have spent substantial time in copy-editing. The result is impressive.

* Appendixes include a ton of useful tables and charts for common probability distributions and other systematic calculations. With the growing popularity of statistical software packages this is probably less important in practice than it was 15 years ago, but nevertheless it is an invaluable help for readers interested in following the complete procedures for e.g. inference testing or calculation of confidence intervals.

Finally, I don't understand why Amazon still keeps reviews from past editions (2004 and before) for this up-to-date edition. As for errata, you can check directly with the publishers page that the current list of errors is quite short, mainly including just typos in few solutions, some minor grammar corrections and other insignificant changes. No textbook is free of typos, but I can assure that the up-to-date edition (5th, 2010) of this book is also rock solid in this regard.
4 of 5 people found the following review helpful
5.0 out of 5 stars Good Math book Nov. 27 2013
By TeemoViewer - Published on Amazon.com
Format:Hardcover|Verified Purchase
This is best statistic book I have ever used in UC Davis. Although the materials presents are somewhat complicated, I still manage to finish studying it. Secondly, this shipment was delivered on-time and good quality. I was able to resale in the school book store for half price. :)
1 of 1 people found the following review helpful
4.0 out of 5 stars Review for Kindle version Sept. 14 2013
By Floyd Wofford - Published on Amazon.com
Format:Hardcover|Verified Purchase
Required text for course. I began course without hard copy text and rented the Kindle version to complete early assignments. I downloaded Kindle reader for my PC (free) as text would not display on my Kindle device. Kindle version of text was functional providing me with access to all material I required for the course before I received the hard copy edition, Job well done in generating the Kindle version.
1 of 1 people found the following review helpful
5.0 out of 5 stars Perfect book for statistics studies June 17 2013
By Rodox - Published on Amazon.com
Format:Hardcover|Verified Purchase
The exercises are very good and help you understanding the definitions on statistics. Very good book for references and learning.

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