Applied Optimal DesignsMartijn P.F. Berger, Weng-Kee Wong John Wiley & Sons, 11 mars 2005 - 320 sidor There is an increasing need to rein in the cost of scientific study without sacrificing accuracy in statistical inference. Optimal design is the judicious allocation of resources to achieve the objectives of studies using minimal cost via careful statistical planning. Researchers and practitioners in various fields of applied science are now beginning to recognize the advantages and potential of optimal experimental design. Applied Optimal Designs is the first book to catalogue the application of optimal design to real problems, documenting its widespread use across disciplines as diverse as drug development, education and ground water modelling. Includes contributions covering:
Applied Optimal Designs bridges the gap between theory and practice, drawing together a selection of incisive articles from reputed collaborators. Broad in scope and inter-disciplinary in appeal, this book highlights the variety of opportunities available through the use of optimal design. The wide range of applications presented here should appeal to statisticians working with optimal designs, and to practitioners new to the theory and concepts involved. |
Innehåll
Optimal Design in Educational Testing | 1 |
Mekibib Altaye Allan Donner | 21 |
On the Empirical Relevance of Optimal Designs | 45 |
Acknowledgements | 63 |
ResponseDriven Designs in Drug Development | 103 |
Steven Buyske Department of Mathematics | 110 |
Acknowledgements | 133 |
Holger Dette OttovonGuerickeUniversität | 175 |
Selected Issues in the Design of Studies of Interrater | 181 |
Appendix | 194 |
Newcastle K7L | 197 |
Optimal Experimental Design for Parameter Estimation | 219 |
Acknowledgements | 243 |
281 | |
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algorithm application of optimal Applied Psychological Measurement attributes Bayesian Berger block effects model CBFmax coefficient computed conjoint analysis constraints construction cost covariance matrix criteria criterion curve D-optimal denote design of experiments design points design problem dichotomous distribution dose efficiency equation example factors Fedorov Figure first-stage Fisher information matrix groundwater Hellinger distance item parameters item response theory Journal kinetics kmax least squares estimator levels linear locally optimal designs logistic model logistic regression mathematical Meanscore method microbial growth microbiology minimizes model parameters Monod model nonlinear regression nonlinear regression models number of observations obtained optimal design theory optimal experimental design optimal sampling fraction paired comparisons parameter estimates pilot data plume prior random block effects raters respect run orders S-PLUS sampling fractions second-stage sampling fractions selected specific growth rate Statistics strata subjects Table test-takers testlets trend unknown parameters utilities values variance variance-covariance matrix vector weight Wong
Populära avsnitt
Sida 244 - Loaiciga. HA, Charbeneau, RJ, Everett, LG, Fogg, GE. Hobbs, BF and Rouhani, S. (1992). Review of ground-water quality monitoring network design, J.
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