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The Resource 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, Dariusz Uciński, Anthony C. Atkinson, Maciej Patan, editors

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, Dariusz Uciński, Anthony C. Atkinson, Maciej Patan, editors

Creator
Contributor
Summary
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-called optimum experimental design. Its theory and practice have since become important in many scientific and technological fields, ranging from optimal designs for dynamic models in pharmacological research, to designs for industrial experimentation, to designs for simulation experiments in environmental risk management, to name but a few. The methodology has become even more important in recent years because of the increased speed of scientific developments, the complexity of the systems currently under investigation and the mounting pressure on businesses, industries and scientific researchers to reduce product and process development times. This increased competition requires ever increasing efficiency in experimentation, thus necessitating new statistical designs. This book presents a rich collection of carefully selected contributions ranging from statistical methodology to emerging applications. It primarily aims to provide an overview of recent advances and challenges in the field, especially in the context of new formulations, methods and state-of-the-art algorithms. The topics included in this volume will be of interest to all scientists and engineers and statisticians who conduct experiments
Language
eng
Work
Publication
Extent
1 online resource (xx, 249 pages)
Contents
  • Estimating and Quantifying Uncertainties on Level Sets Using the Vorob'ev Expectation and Deviation with Gaussian Process Models
  • Clément Chevalier, David Ginsbourger
  • Optimal Designs for Multiple-Mixture by Process Variable Experiments
  • Roelof L.J. Coetzer, Linda M. Haines
  • Optimal Design of Experiments for Delayed Responses in Clinical Trials
  • Vladimir Dragalin
  • Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments
  • Ellinor Fackle-Fornius, Linda Wänström
  • A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties
  • Giacomo Aletti, Caterina May, Chiara Tommasi
  • Robust Experimental Design for Choosing Between Models of Enzyme Inhibition
  • Anthony C. Atkinson, Barbara Bogacka
  • Checking Linear Regression Models Taking Time into Account
  • Wolfgang Bischoff
  • Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints
  • Atanu Biswas, Buddhananda Banerjee
  • Kernels and Designs for Modelling Invariant Functions: From Group Invariance to Additivity
  • David Ginsbourger, Nicolas Durrande
  • Optimal Design for Count Data with Binary Predictors in Item Response Theory
  • Ulrike Graßhoff, Heinz Holling
  • Differences between Analytic and Algorithmic Choice Designs for Pairs of Partial Profiles
  • Heiko Großmann
  • Approximate Bayesian Computation Design (ABCD), an Introduction
  • Markus Hainy, Werner G. Müller
  • Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population PK/PD Studies
  • Sergei Leonov, Alexander Aliev
  • Maximum Entropy Design in High Dimensions by Composite Likelihood Modelling
  • Davide Ferrari, Matteo Borrotti
  • Randomization Based Inference for the Drop-The-Loser Rule
  • Nancy Flournoy, Arkaitz Galbete
  • Adaptive Bayesian Design with Penalty Based on Toxicity-Efficacy Response
  • Lei Gao, William F. Rosenberger
  • Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values
  • Andrea Ghiglietti, Anna Maria Paganoni
  • Convergence of an Algorithm for Constructing Minimax Designs
  • Hans Nyquist
  • Extended Optimality Criteria for Optimum Design in Nonlinear Regression
  • Andrej Pázman, Luc Pronzato
  • Optimal Design for Multivariate Models with Correlated Observations
  • Andrey Pepelyshev
  • Optimal Designs for the Prediction of Individual Effects in Random Coefficient Regression
  • Maryna Prus, Rainer Schwabe
  • D-Optimum Input Signals for Systems with Spatio-Temporal Dynamics
  • Ewaryst Rafajłowicz, Wojciech Rafajłowicz
  • c-Optimal Designs for the Bivariate Emax Model
  • Random Projections in Model Selection and Related Experimental Design Problems
  • Ewa Skubalska-Rafajłowicz
  • Optimal Design for the Bounded Log-Linear Regression Model
  • HaiYing Wang, Andrey Pepelyshev
  • Bergrun Tinna Magnusdottir
  • On the Functional Approach to Locally D-Optimum Design for Multiresponse Models
  • Viatcheslav B. Melas, Lyudmila A. Krylova
  • Sample Size Calculation for Diagnostic Tests in Generalized Linear Mixed Models
  • Tobias Mielke, Rainer Schwabe
  • D-Optimal Designs for Lifetime Experiments with Exponential Distribution and Censoring
  • Christine H. Müller
Isbn
9783319002187
Instance
Label
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
Title
MODa 10-- Advances in model-oriented design and analysis
Title remainder
proceedings of the 10th International Workshop in Model-Oriented Design and Analysis held in Łagów Lubuski, Poland, June 10-14, 2013
Statement of responsibility
Dariusz Uciński, Anthony C. Atkinson, Maciej Patan, editors
Creator
Contributor
Subject
Genre
Language
eng
Summary
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-called optimum experimental design. Its theory and practice have since become important in many scientific and technological fields, ranging from optimal designs for dynamic models in pharmacological research, to designs for industrial experimentation, to designs for simulation experiments in environmental risk management, to name but a few. The methodology has become even more important in recent years because of the increased speed of scientific developments, the complexity of the systems currently under investigation and the mounting pressure on businesses, industries and scientific researchers to reduce product and process development times. This increased competition requires ever increasing efficiency in experimentation, thus necessitating new statistical designs. This book presents a rich collection of carefully selected contributions ranging from statistical methodology to emerging applications. It primarily aims to provide an overview of recent advances and challenges in the field, especially in the context of new formulations, methods and state-of-the-art algorithms. The topics included in this volume will be of interest to all scientists and engineers and statisticians who conduct experiments
Member of
Cataloging source
GW5XE
Dewey number
519.5/7
Illustrations
illustrations
Index
index present
LC call number
QA279
LC item number
.I58 2013
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2013
http://bibfra.me/vocab/lite/meetingName
International Workshop on Model-Oriented Design and Analysis
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1965-
http://library.link/vocab/relatedWorkOrContributorName
  • Uciński, Dariusz
  • Atkinson, A. C.
  • Patan, Maciej
Series statement
Contributions to statistics,
http://library.link/vocab/subjectName
  • Experimental design
  • MATHEMATICS
  • MATHEMATICS
  • Experimental design
Label
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, Dariusz Uciński, Anthony C. Atkinson, Maciej Patan, editors
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Estimating and Quantifying Uncertainties on Level Sets Using the Vorob'ev Expectation and Deviation with Gaussian Process Models
  • Clément Chevalier, David Ginsbourger
  • Optimal Designs for Multiple-Mixture by Process Variable Experiments
  • Roelof L.J. Coetzer, Linda M. Haines
  • Optimal Design of Experiments for Delayed Responses in Clinical Trials
  • Vladimir Dragalin
  • Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments
  • Ellinor Fackle-Fornius, Linda Wänström
  • A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties
  • Giacomo Aletti, Caterina May, Chiara Tommasi
  • Robust Experimental Design for Choosing Between Models of Enzyme Inhibition
  • Anthony C. Atkinson, Barbara Bogacka
  • Checking Linear Regression Models Taking Time into Account
  • Wolfgang Bischoff
  • Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints
  • Atanu Biswas, Buddhananda Banerjee
  • Kernels and Designs for Modelling Invariant Functions: From Group Invariance to Additivity
  • David Ginsbourger, Nicolas Durrande
  • Optimal Design for Count Data with Binary Predictors in Item Response Theory
  • Ulrike Graßhoff, Heinz Holling
  • Differences between Analytic and Algorithmic Choice Designs for Pairs of Partial Profiles
  • Heiko Großmann
  • Approximate Bayesian Computation Design (ABCD), an Introduction
  • Markus Hainy, Werner G. Müller
  • Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population PK/PD Studies
  • Sergei Leonov, Alexander Aliev
  • Maximum Entropy Design in High Dimensions by Composite Likelihood Modelling
  • Davide Ferrari, Matteo Borrotti
  • Randomization Based Inference for the Drop-The-Loser Rule
  • Nancy Flournoy, Arkaitz Galbete
  • Adaptive Bayesian Design with Penalty Based on Toxicity-Efficacy Response
  • Lei Gao, William F. Rosenberger
  • Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values
  • Andrea Ghiglietti, Anna Maria Paganoni
  • Convergence of an Algorithm for Constructing Minimax Designs
  • Hans Nyquist
  • Extended Optimality Criteria for Optimum Design in Nonlinear Regression
  • Andrej Pázman, Luc Pronzato
  • Optimal Design for Multivariate Models with Correlated Observations
  • Andrey Pepelyshev
  • Optimal Designs for the Prediction of Individual Effects in Random Coefficient Regression
  • Maryna Prus, Rainer Schwabe
  • D-Optimum Input Signals for Systems with Spatio-Temporal Dynamics
  • Ewaryst Rafajłowicz, Wojciech Rafajłowicz
  • c-Optimal Designs for the Bivariate Emax Model
  • Random Projections in Model Selection and Related Experimental Design Problems
  • Ewa Skubalska-Rafajłowicz
  • Optimal Design for the Bounded Log-Linear Regression Model
  • HaiYing Wang, Andrey Pepelyshev
  • Bergrun Tinna Magnusdottir
  • On the Functional Approach to Locally D-Optimum Design for Multiresponse Models
  • Viatcheslav B. Melas, Lyudmila A. Krylova
  • Sample Size Calculation for Diagnostic Tests in Generalized Linear Mixed Models
  • Tobias Mielke, Rainer Schwabe
  • D-Optimal Designs for Lifetime Experiments with Exponential Distribution and Censoring
  • Christine H. Müller
Control code
835059675
Dimensions
unknown
Extent
1 online resource (xx, 249 pages)
File format
unknown
Form of item
online
Isbn
9783319002187
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-00218-7
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)835059675
Label
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, Dariusz Uciński, Anthony C. Atkinson, Maciej Patan, editors
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Estimating and Quantifying Uncertainties on Level Sets Using the Vorob'ev Expectation and Deviation with Gaussian Process Models
  • Clément Chevalier, David Ginsbourger
  • Optimal Designs for Multiple-Mixture by Process Variable Experiments
  • Roelof L.J. Coetzer, Linda M. Haines
  • Optimal Design of Experiments for Delayed Responses in Clinical Trials
  • Vladimir Dragalin
  • Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments
  • Ellinor Fackle-Fornius, Linda Wänström
  • A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties
  • Giacomo Aletti, Caterina May, Chiara Tommasi
  • Robust Experimental Design for Choosing Between Models of Enzyme Inhibition
  • Anthony C. Atkinson, Barbara Bogacka
  • Checking Linear Regression Models Taking Time into Account
  • Wolfgang Bischoff
  • Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints
  • Atanu Biswas, Buddhananda Banerjee
  • Kernels and Designs for Modelling Invariant Functions: From Group Invariance to Additivity
  • David Ginsbourger, Nicolas Durrande
  • Optimal Design for Count Data with Binary Predictors in Item Response Theory
  • Ulrike Graßhoff, Heinz Holling
  • Differences between Analytic and Algorithmic Choice Designs for Pairs of Partial Profiles
  • Heiko Großmann
  • Approximate Bayesian Computation Design (ABCD), an Introduction
  • Markus Hainy, Werner G. Müller
  • Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population PK/PD Studies
  • Sergei Leonov, Alexander Aliev
  • Maximum Entropy Design in High Dimensions by Composite Likelihood Modelling
  • Davide Ferrari, Matteo Borrotti
  • Randomization Based Inference for the Drop-The-Loser Rule
  • Nancy Flournoy, Arkaitz Galbete
  • Adaptive Bayesian Design with Penalty Based on Toxicity-Efficacy Response
  • Lei Gao, William F. Rosenberger
  • Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values
  • Andrea Ghiglietti, Anna Maria Paganoni
  • Convergence of an Algorithm for Constructing Minimax Designs
  • Hans Nyquist
  • Extended Optimality Criteria for Optimum Design in Nonlinear Regression
  • Andrej Pázman, Luc Pronzato
  • Optimal Design for Multivariate Models with Correlated Observations
  • Andrey Pepelyshev
  • Optimal Designs for the Prediction of Individual Effects in Random Coefficient Regression
  • Maryna Prus, Rainer Schwabe
  • D-Optimum Input Signals for Systems with Spatio-Temporal Dynamics
  • Ewaryst Rafajłowicz, Wojciech Rafajłowicz
  • c-Optimal Designs for the Bivariate Emax Model
  • Random Projections in Model Selection and Related Experimental Design Problems
  • Ewa Skubalska-Rafajłowicz
  • Optimal Design for the Bounded Log-Linear Regression Model
  • HaiYing Wang, Andrey Pepelyshev
  • Bergrun Tinna Magnusdottir
  • On the Functional Approach to Locally D-Optimum Design for Multiresponse Models
  • Viatcheslav B. Melas, Lyudmila A. Krylova
  • Sample Size Calculation for Diagnostic Tests in Generalized Linear Mixed Models
  • Tobias Mielke, Rainer Schwabe
  • D-Optimal Designs for Lifetime Experiments with Exponential Distribution and Censoring
  • Christine H. Müller
Control code
835059675
Dimensions
unknown
Extent
1 online resource (xx, 249 pages)
File format
unknown
Form of item
online
Isbn
9783319002187
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-00218-7
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)835059675

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