Experiments: planning, analysis, and optimization
by Wu, Chien-Fu
Praise for the First Edition: "If you ... want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library."--Journal of the American Statistical Association Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries-and sheds further light on existing ones-on the d…
Read More ↓Title Statements
- Full title :Experiments : planning, analysis, and optimization / C.F. Jeff Wu, Michael S. Hamada.
Summary
Praise for the First Edition: "If you ... want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library."--Journal of the American Statistical Association Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries-and sheds further light on existing ones-on the design and analysis of experiments and their applications in system optimization, robustness, and tre.
Read More ↓Edition Statements
- Publication Date:©2009.
- Edition:2nd ed
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Hoboken, N.J
- Language:eng
- Publication Date:©2009.
Notes
Title from title screen.
The Physical Object
- Description:1 online resource : : illustrations.
Edition Identifiers
- ISBN:9781118626351, 1118626354, 9781118211533, 1118211537
- oclc:ocn755699341
- LC Classification:QA279
- Dewey Decimal:519.5/7
Table of Contents
Basic concepts for experimental design and introductory regression analysis -- Experiments with a single factor -- Experiments with more than one factor -- Full factorial experiments at two levels -- Fractional factorial experiments at two levels -- Full factorial and fractional factorial experiments at three levels -- Other design and analysis techniques for experiments at more than two levels -- Nonregular designs: construction and properties -- Experiments with complex aliasing -- Response surface methodology -- Introduction to robust parameter design -- Robust parameter design for signal-response systems -- Experiments for improving reliability -- Analysis of experiments with nonnormal data.
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