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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Détails bibliographiques
Auteurs principaux : López-Fidalgo Jesús (Directeur de publication), Rodríguez-Díaz Juan Manuel (Directeur de publication), Torsney Ben (Directeur de publication)
Collectivité auteur : International Workshop in Model-Oriented Design and Analysis 08 2007 Almagro, Espagne (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 : Accès Nantes Université
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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
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Documents associés : Autre format: mODa 8 - Advances in Model-Oriented Design and Analysis
Autre format: mODa 8 - Advances in Model-Oriented Design and Analysis
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330 |a 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, from Eastern and Western Europe, the USA, Latin-America, Asia and Africa, have contributed to this volume. Primary topics are designs for nonlinear models and applications to experimental medicine. 
359 1 |a 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. 
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