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Modern Industrial Statistics: The Design and Control of Quality and Reliability

Modern Industrial Statistics: The Design and Control of Quality and Reliability

List Price: $127.95
Your Price: $127.95
Product Info Reviews

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Rating: 5 stars
Summary: A helpful book
Review: I have already read several books on statistics and QC, but only few of them are so comprehensive as this one. It is helpful for both undergraduates and graduates students, who want to better understand the topics here presented. The book also comes with a data CD for exercices, thus making understanding easier for people.

Rating: 5 stars
Summary: Excellent Method Presentation and great Application Tool
Review: Seldom can it be said that statistical methods are well explained. This Reference is a great melding of both method and application. I found that many of the concepts are structured in a way that allows for more practical use than theory explaination. Kudos to the authors.

Rating: 5 stars
Summary: Excellent Method Presentation and great Application Tool
Review: Seldom can it be said that statistical methods are well explained. This Reference is a great melding of both method and application. I found that many of the concepts are structured in a way that allows for more practical use than theory explaination. Kudos to the authors.

Rating: 5 stars
Summary: A comprehensive and modern presentation of ind. statistics
Review: The next millenium offers new opportunities for the application of statistics in industry. These opportunites come from better understanding of management needs and availability of wide spread computer power. The foreword by Bob Glavin, Chairman of Motorola Inc., provides the business motivation for the implementation of industrial statistics. The text presents modern graphical techniques, bootstrapping approaches and advanced SPC and DOE techniques. An unusual feature of the book is the availability of add-on software that allows the reader to practice hands-on learning with simulators and specially designed software for data analysis, acceptance sampling, SPC, design of experiments, and reliability. A useful book for students and practicioners alike.


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