Modern Experimental Design (Repost)

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.