A complete and well-balanced introduction to modern experimentaldesign
Using current research and discussion of the topic along withclear applications, Modern Experimental Design highlightsthe guiding role of statistical principles in experimental designconstruction. This text can serve as both an applied introductionas well as a concise review of the essential types of experimentaldesigns and their applications.
Topical coverage includes designs containing one or multiplefactors, designs with at least one blocking factor, split-unitdesigns and their variations as well as supersaturated andPlackett-Burman designs. In addition, the text contains extensivetreatment of:
* Conditional effects analysis as a proposed general method ofanalysis
* Multiresponse optimization
* Space-filling designs, including Latin hypercube and uniformdesigns
* Restricted regions of operability and debarredobservations
* Analysis of Means (ANOM) used to analyze data from varioustypes of designs
* The application of available software, including Design-Expert,JMP, and MINITAB
This text provides thorough coverage of the topic while alsointroducing the reader to new approaches. Using a large number ofreferences with detailed analyses of datasets, ModernExperimental Design works as a well-rounded learning tool forbeginners as well as a valuable resource for practitioners.
Thomas P. Ryan
Engineering Statistics Experimental Design Methoden der Daten- u. Stichprobenerhebung Qualitätssteuerung Statistics Statistik Statistik in den Ingenieurwissenschaften Survey Research Methods & Sampling Technische Statistik Versuchsplanung
"A good introduction to statistical design of experiments, coveringa wide variety of topics in a well readable and structuredway." (Statistical Papers 2008)
"Modern Experimental Design is a must-have reference for anyonewho will be designing experiments or for statisticians interestedin remaining on the leading edge of this important area."(Journal of the American Statistical Association)
"This attractive text is written in a precise style thatinterconnects and builds on discussion, examples, and methods fromchapter to chapter. Especially pleasant are the care and attentiondevoted to details. The comprehensive and easy-to-read style ofwriting suggests that statistics is fun and exploratory."(Computing Reviews, 2008)
"... this book will prove to be a boon for advances inexperimental design." (Zentralblatt MATH, 2007)
"...the author's wealth of knowledge is immediatelyevident...an excellent expose concerning the actual statisticalplanning or 'design' of experiments." (Biometrics, September2007)
"A very interesting and useful book...highly recommended."(CHOICE, August 2007)
"It is definitely nice to have such a book in the library."(International Statistical Review, 2007)
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