Design and Analysis of Experiments

Design and Analysis of Experiments

Design and Analysis of Experiments

The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems.  Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book.

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Statistics, Data Analysis, and Decision Modeling (5th Edition)

Statistics, Data Analysis, and Decision Modeling (5th Edition)

A pragmatic approach to statistics, data analysis and decision modeling.

 

Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans’ dedication to present material in a simple and straightforward fashion is ideal for comprehension.

List Price: $ 199.00

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6 comments

  1. 13 of 13 people found the following review helpful
    5.0 out of 5 stars
    Good text… but take the course, June 27, 2013
    By 
    Amazon Customer (Ohio) –

    Verified Purchase(What’s this?)
    This review is from: Design and Analysis of Experiments (Hardcover)
    This is a good textbook if you’re taking a course in engineering statistics. It is very thorough and goes farther into the theory than most people might want. As an engineer I think the theory is valuable because it is easy to improperly apply statistical analysis. Overall I think the book is clearly written and provides many real life examples. To some of the other reviewers comment though, real world means an example about a process, but Montgomery tends to be light on telling you how to do the actual analysis. If you’re looking for a how to do Minitab (or any other stat software) this isn’t for you. If you want to learn about statistical analysis and DOE and how to do it right, then it’s a great text.

    Summary:
    -Clearly written
    -Plenty of examples, though purchase the solutions guide if you’ve been assigned the homework
    -Lots of theory
    -Lots of real world examples
    -Don’t expect to learn an analysis software package

    NOTE: If you want the basics of DOE and statistical analysis applied in a practical manner, I would highly recommend the freely available NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/

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  2. 5 of 5 people found the following review helpful
    5.0 out of 5 stars
    Dr. Montgomery’s book, July 30, 2013
    Verified Purchase(What’s this?)
    This review is from: Design and Analysis of Experiments (Hardcover)
    I used Dr. Montgomery’s book as a reference material for his course under Arizona State University’s six sigma black belt program. The book starts with a good review of experimental design concepts and inferential statistics. However, I do find his other book, Statistical Process Control, to be a much better inferential stat reference than this one because it does not ‘rush thru’ the review. Moving to chapter three is where the genius of the author becomes apparent. His approach was to discuss the theoretical aspects of a particular topic, relate it to back inferential statistics, discuss special cases or related topics (like a journal review paper), present problem/s and then show/discuss the solution using either design expert or JMP and diagrams. I cannot find any other better approach. Some of the previous books that I read are kind of ‘cookbooks’ which shows the reader how to do stuff using some method or software but did not really explain mathematically why it must be done in a particular way. This book did it elegantly. One reviewer mentioned that it is not a good book for hand calculation, which is true, but who does hand calculation these days? I cannot imagine myself pulling a graphing paper and drawing a response surface graph after working on several pages of calculations.

    The mathematics is not really hard … only basic arithmetic and some basic linear algebra is all you need. Integrals/differentials and PDE’s are mentioned in the second chapter to describe some functions but that’s about it. However, it is important to understand the concepts early and sequentially as the topics build upon each other. For my case, one chapter takes about six hours total to read. The exercises are reasonable and emphasize the important concepts. It took me about 30 min to answer a reasonably challenging question. I would suggest buying the solutions manual to reduce your heartache or erase any doubts although be aware that not all exercises have a solutions in the manual.

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  3. 6 of 6 people found the following review helpful
    5.0 out of 5 stars
    Clear and Thorough Textbook, November 3, 2013
    By 

    Verified Purchase(What’s this?)
    This review is from: Design and Analysis of Experiments (Hardcover)
    An excellent text that has greatly reinforced some course material that only provided a very preliminary exposure to design and analysis of experiments. With my initial course work, self-study of this text, and acquisition of a stats package (I’m using JMP) I’m now prepared to advocate the use of design of experiments for a test program in my workplace which I expect will provide a better answer for lower cost and time than our traditional approach of testing one threshold at a time to accept a developmental system. This text book was cited as a valuable resource in a July 2013 internal memo by the U.S. DoD Director of Operational Test and Evaluation which was another reason I chose this book from several alternative texts I’d researched.

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  4. 4 of 4 people found the following review helpful
    3.0 out of 5 stars
    Thorough but poorly written, October 27, 2012
    By 
    Danny Kerdine (Paris, France) –

    This review is from: Statistics, Data Analysis, and Decision Modeling (5th Edition) (Paperback)
    This, like the previous version, is a good collection of the topics needed for a basic undergraduate course or review for a graduate course. An attempt is made to write in a clear and straight-forward style, but there are many passages that appear confusing to uninitiated. Even graduate students have a hard time trying to interpret some of the statements. Also, the author’s key examples are sometimes not appropriate, and he often mixes the idea of a sample with sampling from a distribution to obtain a sample of a certain size, by referring to samples of size 1. This is very confusing. I would think that a good re-write could produce an ideal text.

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  5. 1 of 1 people found the following review helpful
    1.0 out of 5 stars
    Statistics, August 10, 2013
    By 
    Shard

    Verified Purchase(What’s this?)
    This review is from: Statistics, Data Analysis, and Decision Modeling (5th Edition) (Paperback)
    Even though the book is supposed to come with a CD with the computer software when you buy it from Amazon the software is not included in the package. Trying to get amazon to ship the CD with the software is a pain as the only way to get them to look at your missing items is to return the book and then have you ship them a new one…..probably going to be missing the software again.

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  6. 3.0 out of 5 stars
    Class requirement, November 29, 2013
    By 
    Jinbok

    Verified Purchase(What’s this?)
    This review is from: Statistics, Data Analysis, and Decision Modeling (5th Edition) (Paperback)
    Required for a class, but it does a very poor job of explaining the concepts.
    The textbook states a lot of formulas in a way that it expects you to know how to solve them.

    However, it is very useful in that it comes with an online subscription and excel content that can be downloaded online.
    Overall challenging book, but you will learn from it!

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