MODA 7 - Advances in Model-Oriented Design and Analysis Proceedings of the 7th International Workshop on Model-Oriented Design and Analysis held in Heeze, The Netherlands, June 14–18, 2004
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...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Heidelberg
Physica
2004, 2004
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Edition: | 1st ed. 2004 |
Series: | Contributions to Statistics
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 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