mODa 11 - Advances in Model-Oriented Design and Analysis

1. On Applying Optimal Design of Experiments when Functional Observations Occur
Giacomo Aletti, Caterina May, Chiara Tommasi

2. Optimal Designs for Implicit Models
Mariano Amo-Salas, Alfonso Jiménez-Alcázar, Jesús López-Fidalgo

3. Optimum Experiments with Sets of Treatment Combinations
Anthony C. Atkinson

4. Design Keys for Multiphase Experiments
R. A. Bailey

5. On Designs for Recursive Least Squares Residuals to Detect Alternatives
Wolfgang Bischoff

6. A Multi-objective Bayesian Sequential Design Based on Pareto Optimality
Matteo Borrotti, Antonio Pievatolo

7. Optimum Design via I-Divergence for Stable Estimation in Generalized Regression Models
Katarína Burclová, Andrej Pázman

8. On Multiple-Objective Nonlinear Optimal Designs
Qianshun Cheng, Dibyen Majumdar, Min Yang

9. Design for Smooth Models over Complex Regions
Peter Curtis, Hugo Maruri-Aguilar

10. PKL-Optimality Criterion in Copula Models for Efficacy-Toxicity Response
Laura Deldossi, Silvia Angela Osmetti, Chiara Tommasi

11. Efficient Circular Cross-over Designs for Models with Interaction
Pierre Druilhet

12. Survival Models with Censoring Driven by Random Enrollment
Valerii V. Fedorov, Xiaoqiang Xue

13. Optimal Design for Prediction in Random Field Models via Covariance Kernel Expansions
Bertrand Gauthier, Luc Pronzato

14. Asymptotic Properties of an Adaptive Randomly Reinforced Urn Model
Andrea Ghiglietti

15. Design of Computer Experiments Using Competing Distances Between Set-Valued Inputs
David Ginsbourger, Jean Baccou, Clément Chevalier, Frédéric Perales

16. Optimal Design for the Rasch Poisson-Gamma Model
Ulrike Graßhoff, Heinz Holling, Rainer Schwabe

17. Regular Fractions of Factorial Arrays
Ulrike Grömping, R. A. Bailey

18. Likelihood-Free Extensions for Bayesian Sequentially Designed Experiments
Markus Hainy, Christopher C. Drovandi, James M. McGree

19. A Confidence Interval Approach in Self-Designing Clinical Trials
Guido Knapp

20. Conditional Inference in Two-Stage Adaptive Experiments via the Bootstrap
Adam Lane, HaiYing Wang, Nancy Flournoy

21. Study Designs for the Estimation of the Hill Parameter in Sigmoidal Response Models
Tobias Mielke

22. Controlled Versus “Random” Experiments: A Principle
Werner G. Müller, Henry P. Wynn

23. Adaptive Designs for Optimizing Online Advertisement Campaigns
Andrey Pepelyshev, Yuri Staroselskiy, Anatoly Zhigljavsky

24. Interpolation and Extrapolation in Random Coefficient Regression Models: Optimal Design for Prediction
Maryna Prus, Rainer Schwabe

25. Invariance and Equivariance in Experimental Design for Nonlinear Models
Martin Radloff, Rainer Schwabe

26. Properties of the Random Block Design for Clinical Trials
Hui Shao, William F. Rosenberger

27. Functional Data Analysis in Designed Experiments
Bairu Zhang, Heiko Großmann

28. Analysis and Design in the Problem of Vector Deconvolution
Anatoly Zhigljavsky, Nina Golyandina, Jonathan Gillard

Avainsanat: Statistics, Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics and Computing/Statistics Programs