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Latest 6 Reviews Here is what people are saying about the Introduction to Statistical Quality Control
"Great Book"
2009-09-15
- Reviewed By User: AIV6RMCGC7N24
The book was in excellent condition and it took no time at all to arrive.
"Intro to statistical quality control 5th ed"
2009-02-23
- Reviewed By User: A3KH2ORDMZ51II
This is a good book to have if you're an engineer or someone that likes to observe and measure the behavior of things. It is very well explained and has a lot of examples that you can use to better understand the subject. On a bad note, it has a lot of typographical errors in some formulas that if you are learning them by the first time you may end up with the wrong result. If you can, buy the 6th edition; I haven't seen that many typos.
I started browsing the book, as is my habit whenever I buy a new book, with the idea of doing an in-depth reading later. But, the subject matter is so vividly covered, I could not. Here is a book I could not keep back until I completed the first 4 chapters in my first reading itself. It all started with the modern definition of quality as stated in the book "Quality is inversely proportional to variability". This definition, later led me to explore more into six sigma concepts to reduce variation before getting to ISO registration by any company. Nothing can be truer than the fact or statement in the book on ISO registration that "many quality engineering authorities feel that ISO registration is largely a waste of effort". I am one among them. This kind of striking information, style of presentation, and the font type are so good that they tempt you to explore more into the book.
I enjoyed the 2-page info on legal aspects of quality, notes on Average Run Length (ARL) and was amazed by the fact that even an in-control process will go out-of-control automatically after 370 samples /observations due to the fact that 3sigma control limits comprise only 99.73% good items. Another area I liked most is the Hypothesis testing of assumptions or conditions in quality improvement situation. Not many books explain so well the Confidence Intervals (CI) and Hypothesis testing. When I read further into this Montgomery's work on "Introduction to Statistical Quality Control", I was doubly happy to have at last a solid book on SQC. It so happened that when I started underlining some important points (that is the respect I give to good books), I had to underline almost all of the pages in his book (Not overdoing).I am sure, so will you do.
I plan to add more interesting areas, in stages, from this book that I liked best as I re-read and as an honor to such a great Author.
"excellently written as is true of all of Montgomery's books"
2008-03-27
- Reviewed By User: AQ7ZQWXAYT8HZ
Doug Montgomery is an excellent instructor and author. I have taken short courses from him. He teaches statistics in the Engineering School at Arizona State. He is known for his books on engineering statistics and has written some excellent texts on design of experiments, response surface methodology, linear regression and quality control. He is well acquainted with the Deming philosophy for quality , Taguchi designs and the six sigma concept. This book on statistical quality control introduces control chart methods and all the other tools of statistical quality control with the expertise that few have.
The book is very accessible to statisticians engineers and others with good mathematical backgrounds but not necessarily strong trtaining in statistics. A virtue of Montgomery in all the books he has authored or coauthored is the clarity of presentation and the ability to reach a wide audience of non-statisticians.
"Sacred Book on SQC"
2007-01-12
- Reviewed By User: A18885O4E6FRE3
If you are looking to be well versed on the principle of Statistical Quality Control, then you need this book.
Used this book in a graduate level course on SPC. The book and the excercises were interesting and highly informative, as are all of Dr. Montgomery's numerous texts. Most concepts are backed up with liberal examples to help understand the theory and cement the concept and their practical applications, and run the whole gamut from management to electrical engineering problems. Many of the tables in the back of the book, such as the random number table, are outdated due to computers, however these may have been dropped in the new version of the text.
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"Intro to statistical quality control 5th ed"