mODa 8 - Advances in Model-Oriented Design and Analysis : Proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4 8, 2007
The volume contains the proceedings of the 8th Workshop on Model-Oriented Design and Analysis. This book offers leading and pioneering work on optimal experimental designs, both from a mathematical/statistical point of view and with regard to real applications. Scientists from all over the world, fr...
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Auteurs principaux : | , , |
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Collectivité auteur : | |
Format : | Livre |
Langue : | anglais |
Titre complet : | mODa 8 - Advances in Model-Oriented Design and Analysis : Proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4 8, 2007 / Jesús López-Fidalgo, Juan Manuel Rodríguez-Díaz, Ben Torsney (Editors) |
Publié : |
Heidelberg :
Physica-Verlag HD
, 2007 Cham : Springer Nature |
Collection : | Contributions to statistics (Online) |
Accès en ligne : |
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Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
Sujets : | |
Documents associés : | Autre format:
mODa 8 - Advances in Model-Oriented Design and Analysis Autre format: mODa 8 - Advances in Model-Oriented Design and Analysis |
- Recruitment in Multicentre Trials: Prediction and Adjustment
- Optimal Design of Pharmacokinetic Studies Described by Stochastic Differential Equations
- Comparisons of Heterogeneity: a Nonparametric Test for the Multisample Case
- On Synchronized Permutation Tests in Two-Way ANOVA
- Optimal Three-Treatment Response-Adaptive Designs for Phase III Clinical Trials with Binary Responses
- One-Half Fractions of a 23 Experiment for the Logistic Model
- Bayes Estimators of Covariance Parameters and the Influence of Designs
- Optimum Design for Correlated Fields via Covariance Kernel Expansions
- Generalized Probit Model in Design of Dose Finding Experiments
- Optimal Design of Bell Experiments
- A Comparison of Efficient Designs for Choices Between Two Options
- D-optimal Designs for Logistic Regression in Two Variables
- Design of Experiments for Extreme Value Distributions
- A Model Selection Algorithm for Mixture Experiments Including Process Variables
- D-optimal Designs for Nonlinear Models Possessing a Chebyshev Property
- A New Tool for Comparing Adaptive Designs; a Posteriori Efficiency
- Optimal Cutpoint Determination: The Case of One Point Design
- D-Optimal Designs for Regression Models with Length-Biased Poisson Response
- Efficient Sampling Windows for Parameter Estimation in Mixed Effects Models
- Quantile and Probability-level Criteria for Nonlinear Experimental Design
- Optimal Designs for the Exponential Model with Correlated Observations
- Determining the Size of Experiments for the One-way ANOVA Model I for Ordered Categorical Data
- Bayesian D s-Optimal Designs for Generalized Linear Models with Varying Dispersion Parameter
- Some Curiosities in Optimal Designs for Random Slopes
- The Within-B-Swap (BS) Design is A- and D-optimal for Estimating the Linear Contrast for the Treatment Effect in 3-Factorial cDNA Microarray Experiments
- D-optimal Designs and Equidistant Designs for Stationary Processes
- Optimal Designs for Discriminating among Several Non-Normal Models
- Optimal Orthogonal Three-Level Factorial Designs for Factor Screening and Response Surface Exploration.