Selected Product:
| Design and Analysis of Experiments
Hardcover
Edition: 6
Author: Douglas C. Montgomery
Publisher: Wiley
Release Date: 2004-12-27
ISBN-10: 047148735X
ISBN-13: 9780471487357
List Price: $115.43
Average Customer Rating:
  | |
Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition
ISBN-10: 0471718130
ISBN-13: 9780471718130
List Price:$121.95
Introduction to Statistical Quality Control
ISBN-10: 0471656313
ISBN-13: 9780471656319
List Price:$147.50
Design of Experiments for Engineers and Scientists
ISBN-10: 0750647094
ISBN-13: 9780750647090
List Price:$52.95
Introduction to Statistical Quality Control, Student Resource Manual
ISBN-10: 0471678104
ISBN-13: 9780471678106
List Price:$38.48
Introduction to Linear Regression Analysis, 4th edition Student Solutions Manual (Wiley Series in Probability and Statistics)
ISBN-10: 0470125063
ISBN-13: 9780470125069
List Price:$31.95
|
To use our price comparison to get the cheapest price, please click on the "Find the Cheapest Price" button located above for Design and Analysis of Experiments by Douglas C. Montgomery (ISBN-10: 047148735X, ISBN-13: 9780471487357).
At this time we have not yet written a review for Design and Analysis of Experiments by Douglas C. Montgomery (ISBN-10: 047148735X, ISBN-13: 9780471487357). Please continue to keep checking back to this page as we are constantly adding reviews.
Summaries and Customer Reviews are supplied by Amazon.com
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.
Fairly Helpful Manual
| Customer Rating: | | 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. |
Solutions Manual
| Customer Rating: | | 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. |
Usable in industry-YES
| Customer Rating: | | 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! |
A good book of DOE but...
| Customer Rating: | | This is the sixth edition and the book has a lot of typos, please, somebody has to correct them before the next edition. |
Pretty Good Experimental Design Textbook
| Customer Rating: | | 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. |
|
