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„On the whole, I think the book is ideal for a year-longcourse at the graduate level (there is much more material in thebook than can be reasonably covered even in a year-long course), but is still advanced for undergraduates.“ (Zentralblatt MATH, 2012)
Praise for the First Edition:
„If you . . . want an up-to-date, definitive reference writtenby authors who have contributed much to this field, then this bookis an essential addition to your library.“
--Journal of the American StatisticalAssociation
Fully updated to reflect the major progress in the use ofstatistically designed experiments for product and processimprovement, Experiments, Second Edition introduces some ofthe newest discoveries--and sheds further light on existingones--on the design and analysis of experiments and theirapplications in system optimization, robustness, and treatmentcomparison. Maintaining the same easy-to-follow style as theprevious edition while also including modern updates, this bookcontinues to present a new and integrated system of experimentaldesign and analysis that can be applied across various fields ofresearch including engineering, medicine, and the physicalsciences.
The authors modernize accepted methodologies while refining manycutting-edge topics including robust parameter design, reliabilityimprovement, analysis of non-normal data, analysis of experimentswith complex aliasing, multilevel designs, minimum aberrationdesigns, and orthogonal arrays. Along with a new chapter thatfocuses on regression analysis, the Second Edition featuresexpanded and new coverage of additional topics, including:
* Expected mean squares and sample size determination
* One-way and two-way ANOVA with random effects
* Split-plot designs
* ANOVA treatment of factorial effects
* Response surface modeling for related factors
Drawing on examples from their combined years of working withindustrial clients, the authors present many cutting-edge topics ina single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, alongwith additional supplemental material. Chapter summaries provide asuccinct outline of discussed methods, and extensive appendicesdirect readers to resources for further study.
Experiments, Second Edition is an excellent book fordesign of experiments courses at the upper-undergraduate andgraduate levels. It is also a valuable resource for practicingengineers and statisticians.
„If you . . . want an up-to-date, definitive reference writtenby authors who have contributed much to this field, then this bookis an essential addition to your library.“
--Journal of the American StatisticalAssociation
Fully updated to reflect the major progress in the use ofstatistically designed experiments for product and processimprovement, Experiments, Second Edition introduces some ofthe newest discoveries--and sheds further light on existingones--on the design and analysis of experiments and theirapplications in system optimization, robustness, and treatmentcomparison. Maintaining the same easy-to-follow style as theprevious edition while also including modern updates, this bookcontinues to present a new and integrated system of experimentaldesign and analysis that can be applied across various fields ofresearch including engineering, medicine, and the physicalsciences.
The authors modernize accepted methodologies while refining manycutting-edge topics including robust parameter design, reliabilityimprovement, analysis of non-normal data, analysis of experimentswith complex aliasing, multilevel designs, minimum aberrationdesigns, and orthogonal arrays. Along with a new chapter thatfocuses on regression analysis, the Second Edition featuresexpanded and new coverage of additional topics, including:
* Expected mean squares and sample size determination
* One-way and two-way ANOVA with random effects
* Split-plot designs
* ANOVA treatment of factorial effects
* Response surface modeling for related factors
Drawing on examples from their combined years of working withindustrial clients, the authors present many cutting-edge topics ina single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, alongwith additional supplemental material. Chapter summaries provide asuccinct outline of discussed methods, and extensive appendicesdirect readers to resources for further study.
Experiments, Second Edition is an excellent book fordesign of experiments courses at the upper-undergraduate andgraduate levels. It is also a valuable resource for practicingengineers and statisticians.
