Modern industrial statistics
design and control of quality and reliability
Practical and comprehensive, Modern Industrial Statistics covers both introductory and advanced methods of quality, reliability, and design. Highlights include: an overall focus on quality, productivity, and reliability with special coverage of computer-intensive methods such as bootstrapping and resampling; integration of computer solution methods into every concept-computer instructions for Minitab are included throughout along with macros (An introduction to S-Plus with special functions is given in an appendix); and real, concrete examples that illustrate concepts and show how modern industrial statistics is applied to actual practice.
Overview
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Contributors
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- Open Author
Ron Kenett
- Open Author
Shelemyahu Zacks
- Open Author
Daniele Amberti
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