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
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-...
Zapisane w:
| 1. autor: | |
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| Kolejni autorzy: | , |
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Cham :
Springer International Publishing
2013.
Cham : Springer Nature |
| Seria: | Contributions to Statistics
|
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • mODa 10 Advances in Model-Oriented Design and Analysis, Texte imprimé, 9783319002170 • mODa 10 Advances in Model-Oriented Design and Analysis, Texte imprimé, 9783319002194 |
Spis treści:
- 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.

