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Blocked Designs for Experiments With Correlated Non-Normal Response
11 references·1 citing·40 second hop
Blocked Designs for Experiments With Correlated Non-Normal Response (2011)Blocked Designs for Experiments With Corr…Fast Computation of Designs Robust to Parameter Uncertainty for Nonlinear Settings (2009)Fast Computation of Designs R…D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS (2009)D-OPTIMAL DESIGNS FOR POISSON…Sequential Experimental Designs for Generalized Linear Models (2008)Sequential Experimental Desig…Robust Experimental Design for Multivariate Generalized Linear Models (2006)Robust Experimental Design fo…Designs for Generalized Linear Models With Several Variables and Model Uncertainty (2006)Designs for Generalized Linea…Design issues for generalized linear models: A review (2006)Design issues for generalized…Design Issues for Generalized Linear Models: A Review (2006)Design Issues for Generalized…Optimal Experimental Designs for Multilevel Logistic Models (2001)Optimal Experimental Designs …Optimal Bayesian design applied to logistic regression experiments (1989)Optimal Bayesian design appli…The Application of the Annealing Algorithm to the Construction of Exact Optimal Designs for Linear – Regression Models (1987)The Application of the Anneal…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…d-QPSO: A Quantum-Behaved Particle Swarm Technique for FindingD-Optimal Designs With Discrete and Continuous Factors and a Binary Response (2018)d-QPSO: A Quantum-Behaved Par…Theory of optimal experiments (1972)Minimax and maximin distance designs (1990)Bayesian Experimental Design: A Review (1995)A Comparison of Algorithms for Constructing Exact D-Optimal Designs (1980)A new approach to the construction of optimal designs (1993)An Algorithm for the Construction of "D-Optimal" Experimental Designs (2000)I-Optimal Versus D-Optimal Split-Plot Response Surface Designs (2012)A Stochastic Approximation Method (1951)Stochastic Estimation of the Maximum of a Regression Function (1952)Support points of locally optimal designs for nonlinear models with two parameters (2009)Support Points of Locally Optimal Designs for Nonlinear Models with Two Parameters (2009)On the de la Garza phenomenon (2010)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Some New Three Level Designs for the Study of Quantitative Variables (1960)The usefulness of Bayesian optimal designs for discrete choice experiments (2011)Towards Bayesian experimental design for nonlinear models that require a large number of sampling times (2013)Bayesian Design of Experiments Using Approximate Coordinate Exchange (2016)Locally Optimal Designs for Estimating Parameters (1953)On a Measure of the Information Provided by an Experiment (1956)Expected Information as Expected Utility (1979)Recent Advances in Nonlinear Experimental Design (1989)Response Surface Methodology—Current Status and Future Directions (1999)Optimal experimental design and some related control problems (2007)Optimum Experimental Designs (1993)Design Issues for Experiments in Multilevel Populations (2000)OPTIMAL EXPERIMENTAL DESIGNS FOR MULTILEVEL MODELS WITH COVARIATES (2001)Optimal Experimental Designs for Multilevel Logistic Models with Two Binary Predictors (2005)Psychometric Modeling of Response Speed and Accuracy with Mixed and Conditional Regression (2005)Optimum Experimental Designs (1993)Experiments - Planning, Analysis and Parameter Design Optimization (2001)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology (1996)A note on the de la Garza phenomenon for locally optimal designs (2010)Optimal designs for generalized linear models with multiple design variables (2011)Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data (2012)Three-phase optimal design of sensitivity experiments (2013)Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning (2023)A review of techniques for parameter sensitivity analysis of environmental models (1994)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)
this work references cited by second hop

References

  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 1989Optimal Bayesian design applied to logistic regression experiments449 cited
  • 1987The Application of the Annealing Algorithm to the Construction of Exact Optimal Designs for Linear – Regression Models160 cited
  • 2006Designs for Generalized Linear Models With Several Variables and Model Uncertainty156 cited
  • 2006Robust Experimental Design for Multivariate Generalized Linear Models115 cited
  • 2009Fast Computation of Designs Robust to Parameter Uncertainty for Nonlinear Settings108 cited
  • 2008Sequential Experimental Designs for Generalized Linear Models102 cited
  • 2006Design issues for generalized linear models: A review98 cited
  • 2001Optimal Experimental Designs for Multilevel Logistic Models86 cited
  • 2006Design Issues for Generalized Linear Models: A Review86 cited
  • 2009D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS56 cited

Cited by

  • 2018d-QPSO: A Quantum-Behaved Particle Swarm Technique for FindingD-Optimal Designs With Discrete and Continuous Factors and a Binary Response37 cited

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