There is an increasing need to rein in the cost of scientific studywithout sacrificing accuracy in statistical inference. Optimaldesign is the judicious allocation of resources to achieve theobjectives of studies using minimal cost via careful statisticalplanning. Researchers and practitioners in various fields ofapplied science are now beginning to recognize the advantages andpotential of optimal experimental design. Applied OptimalDesigns is the first book to catalogue the application ofoptimal design to real problems, documenting its widespread useacross disciplines as diverse as drug development, education andground water modelling.
Includes contributions covering:
* Bayesian design for measuring cerebral blood-flow
* Optimal designs for biological models
* Computer adaptive testing
* Ground water modelling
* Epidemiological studies and pharmacological models
Applied Optimal Designs bridges the gap between theoryand practice, drawing together a selection of incisive articlesfrom reputed collaborators. Broad in scope and inter-disciplinaryin appeal, this book highlights the variety of opportunitiesavailable through the use of optimal design. The wide range ofapplications presented here should appeal to statisticians workingwith optimal designs, and to practitioners new to the theory andconcepts involved.
Martijn P. F. Berger
Experimental Design Statistics Statistik Versuchsplanung
"The wide range of analytical concepts and applications focused upon here will attract statisticians interested in design theory and researchers in many of the fields in which it is used." (Journal of the American Statistical Association, March 2006)
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