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{ "item_title" : "Moda 10 - Advances in Model-Oriented Design and Analysis", "item_author" : [" Dariusz Ucinski", "Anthony C. Atkinson", "Maciej Patan "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/900/217/3319002171_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Moda 10 - Advances in Model-Oriented Design and Analysis|Dariusz Ucinski

Moda 10 - Advances in Model-Oriented Design and Analysis : Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in

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Overview

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.

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Details

  • ISBN-13: 9783319002170
  • ISBN-10: 3319002171
  • Publisher: Springer
  • Publish Date: June 2013
  • Dimensions: 9 x 6.1 x 0.6 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 249

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