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General Equivalence Theory for Optimum Designs (Approximate Theory)
3 references·16 citing·42 second hop
General Equivalence Theory for Optimum Designs (Approximate Theory) (1974)General Equivalence Theory for Optimum De…Theory of optimal experiments (1972)Theory of optimal experimentsOptimum Designs in Regression Problems (1959)Optimum Designs in Regression…A Basis for the Selection of a Response Surface Design (1959)A Basis for the Selection of …A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)A Review of Modern Computatio…On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm (2013)On Optimal Designs for Nonlin…D-optimal designs via a cocktail algorithm (2011)D-optimal designs via a cockt…Monotonic convergence of a general algorithm for computing optimal designs (2010)Monotonic convergence of a ge…Optimal experimental design and some related control problems (2007)Optimal experimental design a…Coherent dispersion criteria for optimal experimental design (1999)Coherent dispersion criteria …On the Equivalence of Constrained and Compound Optimal Designs (1994)On the Equivalence of Constra…A Unified Approach to the Construction of Minimax Designs (1992)A Unified Approach to the Con…Optimal Weights for Experimental Designs on Linearly Independent Support Points (1991)Optimal Weights for Experimen…Optimal Bayesian Experimental Design for Linear Models (1984)Optimal Bayesian Experimental…Developments in the Design of Experiments, Correspondent Paper (1982)Developments in the Design of…On linear regression designs which maximize information (1980)On linear regression designs …Some Algorithmic Aspects of the Theory of Optimal Designs (1978)Some Algorithmic Aspects of t…Optimality of Certain Asymmetrical Experimental Designs (1978)Optimality of Certain Asymmet…Optimal design: Variation in structure and performance under change of criterion (1975)Optimal design: Variation in …D-Optimality for Regression Designs: A Review (1975)D-Optimality for Regression D…Applied Statistical Decision Theory (1962)Design and Analysis of Computer Experiments (1989)Bayesian Experimental Design: A Review (1995)Design Issues for Generalized Linear Models: A Review (2006)Design issues for generalized linear models: A review (2006)Forecaster’s Dilemma: Extreme Events and Forecast Evaluation (2017)On a Measure of the Information Provided by an Experiment (1956)Optimum Experimental Designs (1959)Experimental Design for Binary Data (1983)Recent Advances in Nonlinear Experimental Design (1989)Systems biology: experimental design (2009)Experiments with Mixtures (1958)Computer-Aided Design of Experiments for Response Estimation (1984)Response Surface Methodology: 1966–l988 (1989)Variance Dispersion Properties of Second-Order Response Surface Designs (1992)Theory of Optimal Experiments. (1972)Optimal Design (1980)Invited Discussion Paper Constrained Optimization of Experimental Design (1995)The Equivalence of Constrained and Weighted Designs in Multiple Objective Design Problems (1996)Designs for Generalized Linear Models With Several Variables and Model Uncertainty (2006)On the Nonrandomized Optimality and Randomized Nonoptimality of Symmetrical Designs (1958)Constructions and Combinatorial Problems in Design of Experiments (1973)Optimal Incomplete Block Designs (1977)On the E-Optimality of Some Block Designs (1980)Optimal Repeated Measurements Designs for Correlated Observations and Analysis by Weighted Least Squares (1985)Multi-Factor Experimental Designs for Exploring Response Surfaces (1957)Response Surface Methodology: 1966-1988 (1989)Optimum Experimental Designs (1992)A Stochastic Approximation Method (1951)Bayesian Design of Experiments Using Approximate Coordinate Exchange (2016)Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization (2023)Modern Bayesian Experimental Design (2024)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)The Simplex-Centroid Design for Experiments with Mixtures (1963)Curve Fitting and Optimal Design for Prediction (1978)On the Experimental Attainment of Optimum Conditions (1992)Optimal experimental design with the sigma point method (2009)Thompson Sampling for Stochastic Control: The Finite Parameter Case (2017)Statistical Design of Experiments for Synthetic Biology (2021)Global sensitivity analysis using polynomial chaos expansions (2007)Response surface methodology (2010)
this work references cited by second hop

References

  • 1972Theory of optimal experiments2,093 cited
  • 1959Optimum Designs in Regression Problems796 cited
  • 1959A Basis for the Selection of a Response Surface Design738 cited

Cited by

  • 2015A Review of Modern Computational Algorithms for Bayesian Optimal Design312 cited
  • 1975D-Optimality for Regression Designs: A Review260 cited
  • 2007Optimal experimental design and some related control problems243 cited
  • 1994On the Equivalence of Constrained and Compound Optimal Designs188 cited
  • 1978Optimality of Certain Asymmetrical Experimental Designs167 cited
  • 1999Coherent dispersion criteria for optimal experimental design162 cited
  • 1975Optimal design: Variation in structure and performance under change of criterion141 cited
  • 1984Optimal Bayesian Experimental Design for Linear Models136 cited
  • 2010Monotonic convergence of a general algorithm for computing optimal designs111 cited
  • 2013On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm107 cited
  • 1991Optimal Weights for Experimental Designs on Linearly Independent Support Points95 cited
  • 2011D-optimal designs via a cocktail algorithm

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88 cited
  • 1980On linear regression designs which maximize information87 cited
  • 1978Some Algorithmic Aspects of the Theory of Optimal Designs85 cited
  • 1992A Unified Approach to the Construction of Minimax Designs85 cited
  • 1982Developments in the Design of Experiments, Correspondent Paper79 cited