Product Description
This bestselling professional reference has helped over 100,000 engineers and scientists with the success 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 exper… More >>
Design and Analysis of Experiments, Minitab Manual
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.
See Experiments by Wu and Hamada if you want a high mathematical level of presentation.
Rating: 5 / 5
This text was used in a graduate course on the Design of Experiments. It has a great wealth of examples that span many different fields of industry, from pharmaceuticals to “tool and die” manufacturing. This text, when used along with a statistical software package, made research projects easy to design, implement, analyze and present to others. I found the chapters on reliability, determining sample size for mixed models (random and fixed variables), very helpful in my research.
Rating: 4 / 5
I am a graduate student at ASU. This book is part of the required course materials, since Montgomery is affiliated with ASU. The quality of this textbook is what you may find in a mediocre $40 statistics book. I have not seen statistics dealt with in a more confusing manner. Explanations are incomplete, graphs meant to illustrate concepts are not labeled, symbols and functions are used without defining them, and there are errors in the examples. My understanding was that D. Montgomery has been in this field for a long time. However, basic principles, like including units with the data, are ignored. I expected by the 6th attempt these problems would have been worked out. The other reviews do not make sense to me, since my classmates feel a similar frustration with the book.
Rating: 2 / 5
This is one of the Best Works in DOE I have come across apart from the book Statistics for Experimenters by Box, Hunter and Hunter
Rating: 4 / 5
This book, along with the Box, Hunter, and Hunter book (also available by Wiley) are good references for the experimenter.
Rating: 5 / 5