Rating: 
Summary: highly regarded book on design for engineers
Review: Doug Montgomery got excellent statistical training at VPI. He also has a wealth of practical experience from his consulting work. His books on regression, statistical design and response surfaces are all well written and understandable to engineers. This 4th edition published in 1997 still contains all the useful information on factorial and fractional factorial designs. Chapter 14 is a wonderful up-to-date chapter that covers important process optimization topics not often covered in traditional design of experiments books. This includes response surface methods, mixture experiments, evolutionary operation and Taguchi methods. It does not require high level mathematics.
Rating:
Summary: highly regarded book on design for engineers
Review: Doug Montgomery got excellent statistical training at VPI. He also has a wealth of practical experience from his consulting work. His books on regression, statistical design and response surfaces are all well written and understandable to engineers. This 4th edition published in 1997 still contains all the useful information on factorial and fractional factorial designs. Chapter 14 is a wonderful up-to-date chapter that covers important process optimization topics not often covered in traditional design of experiments books. This includes response surface methods, mixture experiments, evolutionary operation and Taguchi methods. It does not require high level mathematics.
Rating: 
Summary: great DOE book for engineers
Review: Doug Montgomery is an engineer with great statistical training. This enabled him to be a great teacher for statistical practitioners and an author of several excellent applied books in the design and analysis of experimental data and statistical process control. This book is one of the best sources for Design of Experiments for engineers, currently a very important topic in industry. He provides a wealth of information on classical designs and the analysis of variance models. In addition he provides a balanced perspective on the value of Taguchi designs. Other topics covered include response surface methods, evolutionary operation and mixture experiments.
Rating:
Summary: Great DOE book
Review: Having taken two experimental design classes with Dr. Montgomery himself, hands down this book is excellent, as is the author himself. A lot of the material that we used in our advanced level experimental design class comes from the extra material that is available for free of off the books supplemental website, and there is a great wealth of more advanced material in there that is worth printing off, and there is a lot of supplemental material. So if you feel solid on what is in the textbook, tackle the supplemental material to further delve into DOE topics. The book uses numerous examples using SAS, Minitab and Design-Expert and lots of enjoyable practice problems, so following along using any of the packages is pretty easy.
Rating:
Summary: Excellent book
Review: Having taken two experimental design classes with Dr. Montgomery himself, hands down this book is excellent, as is the author himself. A lot of the material that we used in our advanced phD level experimental design class comes from the extra material that is available for free of off the books supplemental website, and there is a great wealth of more advanced material in there that is worth printing off, and there is a lot of supplemental material. So if you feel solid on what is in the textbook, tackle the supplemental material to further delve into DOE topics. The book uses numerous examples using SAS, Minitab and Design-Expert and lots of practice problems, so following along using any of the packages is pretty easy.
Rating:
Summary: MASTER REFERENCE for DESIGN OF EXPERIMENT
Review: I use this book for two years and I think it is a master guide for you on Design of Experiment. Just the matter, is this book doesn't show you too much about Taguchi Method; also it may be not enough case studies.
Rating:
Summary: Exelente
Review: Muy preciso,temas bien detallados. Un libro de alto nivel
Rating:
Summary: The three most thought-after of the core "Future X System"
Review: The three most thought-after amigos of the core "Future X System"
1. Multi-Objective Programming and Goal Programming
2. Design and Analysis of Experiments, 5th Edition
3. SixSigmaServer.com (our full innovation)
Making use of:
QMS, ISO, SixSigmaServer.com
Linear Programming
Mathematics
Multiple criteria decision making
Multiple criteria decision making
Operations Research
Programming (Mathematics)
Science/Mathematics
In brief, most real-life problems involve making decisions to optimally achieve a number of criteria while satisfying some hard or soft constraints. Tackling several methods for solving such problems are presented by the leading experts in the area.
So we have to examine a number of very interesting theoretical modeling, analyzing and solution of real-life problems. However, Six Sigma add-on addresses the problem domain or in another word addresses the defect/errors together with their conversion to yield/success in the overall module. Many modules are lacking addressing the "problem domain' before and after the fact. This is the reason global car companies still suffer from recall in millions. Also we convert the whole into J2EE server thereby migrate from excel limitation, though we import and export it. We open to B2B relationships respecting this craft and its community.
Alan Darwish
312 388 5500
info@sixsigmaserver.com
SR Real Time Future X Systems Architect
Rating: 
Summary: This is a terrible book. Zero practical value.
Review: This book is awful. I had it for a DOE course. The professor and the text were useless. There were lots of useless derivations. It was difficult to quickly look up equations or main points. The author just blathered on and one. USELESS!
I learned more from using google.com.
Rating:
Summary: A good blend of theory and practical examples.
Review: This book, along with the Box, Hunter, and Hunter book (also available by Wiley) are good references for the experimenter.
|
