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TitlemODa 7 โ{128}{148} Advances in Model-Oriented Design and Analysis [electronic resource] : Proceedings of the 7th International Workshop on Model-Oriented Design and Analysis held in Heeze, The Netherlands, June 14-18, 2004 / edited by Alessandro Di Bucchianico, Henning Lรคuter, Henry P. Wynn
ImprintHeidelberg : Physica-Verlag HD : Imprint: Physica, 2004
Connect tohttp://dx.doi.org/10.1007/978-3-7908-2693-7
Descript XIII, 240 p. online resource

SUMMARY

The volume contains the proceedings of the 7th Workshop on Model-Oriented Design and Analysis which has had the purpose of bringing together leading researchers in Eastern and Western Europe for an in-depth discussion of the optimal design of experiments. The papers are representative of the latest developments concerning non-linear models, computational algorithms and important applications, especially to medical statistics


CONTENT

A Masked Spectral Bound for Maximum-Entropy Sampling -- Some Bayesian Optimum Designs for Response Transformation in Nonlinear Models with Nonconstant Variance -- Extensions of the Ehrenfest Urn Designs for Comparing Two Treatments -- Nonparametric Testing for Main Effects on Inequivalent Designs -- Maximin Optimal Designs for a Compartmental Model -- Optimal Adaptive Designs in Phase III Clinical Trials for Continuous Responses with Covariates -- Optimal Designs for Regression Models with Forced Measurements at Baseline -- Small Size Designs in Nonlinear Models Computed by Stochastic Optimization -- Asymptotic Properties of Biased Coin Designs for Treatment Allocation -- Lower Bounds on Efficiency Ratios Based on ?p-Optimal Designs -- On a Functional Approach to Locally Optimal Designs -- Optimal Design Criteria Based on Tolerance Regions -- Simultaneous Choice of Design and Estimator in Nonlinear Regression with Parameterized Variance -- Minimum Entropy Estimation in Semi-Parametric Models: a Candidate for Adaptive Estimation -- Optimal Designs for Contingent Response Models -- Bayesian D-Optimal Designs for Generalized Linear Models with a Varying Dispersion Parameter -- L-optimum Designs in Multi-factor Models with Heteroscedastic Errors -- Multiplicative Algorithms for Constructing Optimizing Distributions : Further Developments -- Locally Optimal Designs for an Extension of the Michaelis-Menten Model -- Asymptotic Properties of Urn Designs for Three-arm Clinical Trials -- T-Optimum Designs for Multiresponse Dynamic Heteroscedastic Models -- Error Transmission in Mixture Experiments -- Maximum Entropy Sampling and General Equivalence Theory -- Towards Identification of Patient Responses to Anesthesia Infusion in Real Time -- List of Contributors -- List of Referees -- List of Figures -- List of Tables


Mathematics Operations research Decision making Applied mathematics Engineering mathematics Probabilities Statistics Mathematics Probability Theory and Stochastic Processes Applications of Mathematics Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Life Sciences Medicine Health Sciences Operation Research/Decision Theory



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