Type of bind: Paperback
Dewey Decimal Number: 745
EAN num: 9780471260080
ISBN number: 0471260088
Label: John Wiley & Sons Inc
Manufacturer: John Wiley & Sons Inc
Page Count: 720
Printing Date: 1997-11
Publishing house: John Wiley & Sons Inc
Sale Popularity Level: 6566541
Studio: John Wiley & Sons Inc
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Editor's Notes and Comments:
Product Description:
This bestselling professional reference has helped over 100,000 engineers and scientists with the sucess of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
User popularity level:
Rated by buyers -
This manual has the solutions for all of the marked problems in the book. They are mostly done using MINITAB, so if you use a different program you may get slightly different answers. Overall, it is helpul for checking your solutions to the practice problems.
Rated by buyers -
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.
Rated by buyers 
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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!
Rated by buyers -
This is the sixth edition and the book has a lot of typos, please, somebody has to correct them before the subsequent edition.
Rated by buyers -
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.
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