mODa 9 : advances in model-oriented design and analysis : proceedings of the 9th International Workshop in Model-Oriented Design and Analysis held in Bertinoro, Italy, June 14-18, 2010

The volume contains the proceedings of the 9th Workshop on Model-Oriented Design and Analysis. It offers leading and pioneering work on optimal experimental designs, both from a theoretical point of view and in respect of real applications. Scientists from Eastern and Western Europe, the US, Asia an...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile nagusia: Giovagnoli, Alessandra
Beste egile batzuk: Atkinson, Anthony C. (Argitalpenaren zuzendaria), Torsney, Bernard (Argitalpenaren zuzendaria), May, Caterina (Argitalpenaren zuzendaria)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Heidelberg : Physica-Verlag HD 2010.
Cham : Springer Nature
Saila:Contributions to Statistics
Sarrera elektronikoa:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Oharra: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• mODa 9 Advances in Model-Oriented Design and Analysis, Texte imprimé, 9783790824094
• mODa 9 - Advances in Model-Oriented Design and Analysis, Texte imprimé, 9783790824117
Aurkibidea:
  • Impact of Stratified Randomization in Clinical Trials
  • The Non-Uniqueness of Some Designs for Discriminating Between Two Polynomial Models in One Variable
  • Covariate Adjusted Designs for Combining Efficiency, Ethics and Randomness in Normal Response Trials
  • Split-Plot and Robust Designs: Weighting and Optimization in the Multiple Response Case
  • An Improvement in the Lack-of-Fit Optimality of the (Absolutely) Continuous Uniform Design in Respect of Exact Designs
  • Optimal Allocation Proportion for a Two-Treatment Clinical Trial Having Correlated Binomial Responses
  • Sample Size Determination for Multivariate Performance Analysis with Complex Designs
  • Optimal Design for Compositional Data
  • Dose Finding Experiments: Responses of Mixed Type
  • Pharmacokinetic Studies Described by Stochastic Differential Equations: Optimal Design for Systems with Positive Trajectories
  • On Testing Hypotheses in Response-Adaptive Designs Targeting the Best Treatment
  • Towards Gaussian Process-based Optimization with Finite Time Horizon
  • Optimal Designs for Linear Logistic Test Models
  • A Class of Screening Designs Robust to Active Second-Order Effects
  • D-Optimal Design for a Five-Parameter Logistic Model
  • Sequential Barycentric Interpolation
  • Some Considerations on the Fisher Information in Nonlinear Mixed Effects Models
  • Designs with High Breakdown Point in Nonlinear Models
  • A Note on the Relationship between Two Approaches to Optimal Design under Correlation
  • The Role of the Nugget Term in the Gaussian Process Method
  • A Bonferroni-Adjusted Trend Testing Method for Excess over Highest Single Agent
  • Asymptotic Properties of Adaptive Penalized Optimal Designs over a Finite Space
  • Filling and D-optimal Designs for the Correlated Generalized Exponential Model
  • Designs for Dose Finding Studies on Safety and Efficacy
  • A Radial Scanning Statistic for Selecting Space-filling Designs in Computer Experiments
  • Optimal Designs for Two-Colour Microarray Experiments for Estimating Interactions
  • Discrimination Between Random and Fixed Effect Logistic Regression Models
  • Estimation and Optimal Designing under Latent Variable Models for Paired Comparisons Studies via a Multiplicative Algorithm
  • Pointwise Consistency of the Kriging Predictor with Known Mean and Covariance Functions
  • Information in a Two-stage Adaptive Optimal Design for Normal Random Variables having a One Parameter Exponential Mean Function.