mODa 10 – Advances in Model-Oriented Design and Analysis Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ucinski, Dariusz (Επιμελητής έκδοσης), Atkinson, Anthony C. (Επιμελητής έκδοσης), Patan, Maciej (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Springer International Publishing : Imprint: Springer, 2013.
• Σειρά: Contributions to Statistics,
• Θέματα: 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.

This book collects the proceedings of the 10th Workshop on Model-Oriented Design and Analysis (mODa). A model-oriented view on the design of experiments, which is the unifying theme of all mODa meetings, assumes some knowledge of the form of the data-generating process and naturally leads to the so-...

Πίνακας περιεχομένων:

• A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties
• Robust Experimental Design for Choosing Between Models of Enzyme Inhibition
• Checking Linear Regression Models Taking Time into Account
• Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints
• Estimating and Quantifying Uncertainties on Level Sets Using the Vorobev Expectation and Deviation with Gaussian Process Models
• Optimal Designs for Multiple-Mixture by Process Variable Experiments
• Optimal Design of Experiments for Delayed Responses in Clinical Trials
• Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments
• Maximum Entropy Design in High Dimensions by Composite Likelihood Modelling
• Randomization Based Inference for the Drop-The-Loser Rule
• Adaptive Bayesian Design with Penalty Based on Toxicity-Efficacy Response
• Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values
• Kernels and Designs for Modelling Invariant Functions: From Group Invariance to Additivity
• Optimal Design for Count Data with Binary Predictors in Item Response Theory
• Differences between Analytic and Algorithmic Choice Designs for Pairs of Partial Profiles
• Approximate Bayesian Computation Design (ABCD), An Introduction
• Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population Pk/Pd Studies
• c-Optimal Designs for the Bivariate Emax Model
• On the Functional Approach to Locally D-Optimum Design for Multiresponse Models
• Sample Size Calculation for Diagnostic Tests in Generalized Linear Mixed Models
• D-Optimal Designs for Lifetime Experiments with Exponential Distribution and Censoring
• Convergence of An Algorithm for Constructing Minimax Designs
• Extended Optimality Criteria for Optimum Design in Nonlinear Regression
• Optimal Design for Multivariate Models with Correlated Observations
• Optimal Designs for the Prediction of Individual Effects in Random Coefficient Regression
• D-Optimum Input Signals for Systems with Spatio-Temporal Dynamics
• Random Projections in Model Selection and Related Experimental Design Problems
• Optimal Design for the Bounded Log-Linear Regression Model.