Modern Industrial Statistics the Design and Control of Quality and Reliability

By Daniele Amberti, Shelemyahu Zacks, Ron S. Kenett

Book Overview

Covering industrial statistics tools used in business and industry, this book combines theoretical background with examples and references to R, MINITAB, and JMP to provide relevant material on both... This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 0534353703
• ISBN13: 9780534353704
• Release Date: January 1998
• Publisher: Cengage Learning
• Length: 621 Pages
• Weight: 2.70 lbs.
• Dimensions: 1.2" x 7.6" x 9.6"

Customer Reviews

A helpful book

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.

Excellent Method Presentation and great Application Tool

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.

A comprehensive and modern presentation of ind. statistics

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.