» Design and Analysis of Experiments

Design and Analysis of Experiments
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Rating: 4.0 / 5.00 (22 reviews)


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Design and Analysis of Experiments Details

Binding: Hardcover
Dewey Decimal Number: 001.434
EAN: 9780471487357
ISBN: 047148735X
Label: Wiley
Manufacturer: Wiley
Number Of Items: 1
Number Of Pages: 660
Publication Date: 2004-12-27
Publisher: Wiley
Studio: Wiley



Design and Analysis of Experiments Reviews

Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5
Summary: Solutions Manual
Comment: The manual is ok if you already have the basics of statistics. Some things are not as thouroughy explained, but it's good enough. Does not have the answers to all problems, only selected ones.

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5
Summary: Usable in industry-YES
Comment: After working in industry for 30+ years and teaching DOX at the University level as well, I can say that when you wnat to get the ideas of DOX across to the real USERS- i.e. researchers , engineers, etc. Doug Montgomery's book(s) are terrific. This edition is no exception, it continues the trend of getting a good book on DOX even better with the 7th edition.. highly recommended!

Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5
Summary: A good book of DOE but...
Comment: This is the sixth edition and the book has a lot of typos, please, somebody has to correct them before the next edition.

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5
Summary: Pretty Good Experimental Design Textbook
Comment: I really liked reading and learning about Experimental Analysis and Design from this book. I think it is pretty well paced, and quite well illustrated with many examples. I addition, the author also provides an online space with further expansion to the ideas presented in the book, as well as digital resources to all the data used in solved examples, as well as question problems. I strongly recommend this book for anyone with moderate statistical backgrouns, wishing to learn about experimental design and analysis.

Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5
Summary: Decent Statistics Text
Comment: I haven't used this much for a class yet but it is definitely better and less rigorous than other statistics books, which easily become dry and boring.

More Reviews for Design and Analysis of Experiments


Editorial Review for Design and Analysis of Experiments:

Now in its 6th edition, this bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments.

Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and design and develop new processes and products. You will also learn how to evaluate material alternatives in product design, improve the field performance, reliability, and manufacturing aspects of products, and conduct experiments effectively and efficiently.

Discover how to improve the quality and efficiency of working systems with this highly-acclaimed book. This 6th Edition:
  • Places a strong focus on the use of the computer, providing output from two software products: Minitab and DesignExpert.
  • Presents timely, new examples as well as expanded coverage on adding runs to a fractional factorial to de-alias effects.
  • Includes detailed discussions on how computers are currently used in the analysis and design of experiments.
  • Offers new material on a number of important topics, including follow-up experimentation and split-plot design.
  • Focuses even more sharply on factorial and fractional factorial design.




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