Optimal Design of Experiments for Implicit Models (Q5881146)

scientific article; zbMATH DE number 7661438

Language	Label	Description	Also known as
English	Optimal Design of Experiments for Implicit Models	scientific article; zbMATH DE number 7661438

Statements

instance of

scholarly article

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title

Optimal Design of Experiments for Implicit Models (English)

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zbMATH Open document ID

1506.62353

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DOI

10.1080/01621459.2020.1862670

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Journal of the American Statistical Association

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publication date

9 March 2023

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Mathematics Subject Classification ID

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continuous designs

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implicit models

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model-based optimal designs

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nonlinear programming

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describes a project that uses

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MaRDI publication profile

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full work available at URL

https://doi.org/10.1080/01621459.2020.1862670

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Numerical methods for optimum experimental design in DAE systems

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The Estimation of Parameters in Nonlinear, Implicit Models

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An Interior Point Algorithm for Large-Scale Nonlinear Programming

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Optimal Bayesian design applied to logistic regression experiments

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Minimax optimal designs via particle swarm optimization methods

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On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds

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A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds

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Spacing of Information in Polynomial Regression

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Improving updating rules in multiplicative algorithms for computing $D$-optimal designs

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Design of experiments for parameter estimation in multiresponse situations

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CONOPT: A GRG code for large sparse dynamic nonlinear optimization problems

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CONOPT—A Large-Scale GRG Code

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Stability of Methods for Matrix Inversion

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Optimal exact designs of experiments via mixed integer nonlinear programming

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A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models

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Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming‐Based Approach

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A semi-infinite programming based algorithm for determining T-optimum designs for model discrimination

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Model-oriented design of experiments

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Q4203561

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Linearization methods for optimization of functionals which depend on probability measures

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SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization

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Q4917542

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Computing $c$-optimal experimental designs using the simplex method of linear programming

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Improvements on removing nonoptimal support points in $D$-optimum design algorithms

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Modeling and Identifying Optimum Designs for Fitting Dose-Response Curves Based on Raw Optical Density Data

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General equivalence theory for optimum designs (approximate theory)

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The Equivalence of Two Extremum Problems

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Numerical methods for optimal control problems in design of robust optimal experiments for nonlinear dynamic processes

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Construction of optimal designs using a clustering approach

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A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models

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The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs

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Optimal Designs for Rational Function Regression

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Removing non-optimal support points in $D$-optimum design algorithms.

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Optimal experimental design and some related control problems

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Design of experiments in nonlinear models. Asymptotic normality, optimality criteria and small-sample properties

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Q4849481

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Optimal weights for experimental designs on linearly independent support points

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A Bayesian Study of the Error-in-Variables Model

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Q3376534

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Implicit Multifunctional Nonlinear Regression Analysis

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Computing optimal designs of multiresponse experiments reduces to second-order cone program\-ming

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Computing exact $D$-optimal designs by mixed integer second-order cone programming

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Q3922026

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Two classes of multiplicative algorithms for constructing optimizing distributions

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Multiplicative algorithms for computing optimum designs

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Applications of semidefinite programming

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Q4768502

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Robust designs for binary data: applications of simulated annealing

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Some algorithmic aspects of the theory of optimal designs

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The covergence of general step-length algorithms for regular optimum design criteria

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The Sequential Generation of $D$-Optimum Experimental Designs

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On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm

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D-optimal designs via a cocktail algorithm

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Monotonic convergence of a general algorithm for computing optimal designs

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Strict monotonicity and convergence rate of Titterington's algorithm for computing D-optimal designs

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Sitelinks

Mathematics(1 entry)

mardi Publication:5881146