|
|
US Mall 1 - Design and Analysis of Experiments
![Design and Analysis of Experiments]()
|
List Price:
Our Price:
Your Save: $ ( % )
Availability:
Manufacturer: John Wiley & Sons Inc
|
Average Customer Rating:     

|
|
Binding: Hardcover EAN: 9780471020103 ISBN: 0471020109 Label: John Wiley & Sons Inc Manufacturer: John Wiley & Sons Inc Number Of Pages: 856 Publication Date: 2001-09-14 Publisher: John Wiley & Sons Inc Studio: John Wiley & Sons Inc
|
|
|
|
|
|
Spotlight customer reviews:
|
Customer Rating:      Summary: Fairly Helpful Manual Comment: 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.
Customer Rating:      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:      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:      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:      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.
|
|
|
Editorial Reviews:
|
Customer Rating:      Summary: Fairly Helpful Manual Comment: 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.
Customer Rating:      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:      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:      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:      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.
Array
|
|
|
|
|
|
|
|