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THE ROLE OF SYMMETRY AND APPROXIMATION IN EXACT DESIGN OPTIMALITY
8 references·2 citing·35 second hop
THE ROLE OF SYMMETRY AND APPROXIMATION IN EXACT DESIGN OPTIMALITY (1971)THE ROLE OF SYMMETRY AND APPROXIMATION IN…Optimum Experimental Designs (1992)Optimum Experimental DesignsOptimum Experimental Designs V, with Applications to Systematic and Rotatable Designs (1985)Optimum Experimental Designs …Minimum Bias Estimation and Experimental Design for Response Surfaces (1969)Minimum Bias Estimation and E…On the optimality of certain type of PBIB designs. (1961)On the optimality of certain …Optimality Criteria for Incomplete Block Designs (1960)Optimality Criteria for Incom…Optimum Experimental Designs (1959)Optimum Experimental DesignsA Basis for the Selection of a Response Surface Design (1959)A Basis for the Selection of …On the Nonrandomized Optimality and Randomized Nonoptimality of Symmetrical Designs (1958)On the Nonrandomized Optimali…Multiplicative algorithms for computing optimum designs (2009)Multiplicative algorithms for…A note on Bayesian c- and D-optimal designs in nonlinear regression models (1996)A note on Bayesian c- and D-o…On the Experimental Attainment of Optimum Conditions (1951)Multi-Factor Experimental Designs for Exploring Response Surfaces (1957)Which Response Surface Design Is Best: A Performance Comparison of Several Types of Quadratic Response Surface Designs in Symmetric Regions (1976)Optimum Multivariate Designs (1985)Response Surface Methodology: 1966–l988 (1989)On the Experimental Attainment of Optimum Conditions (1992)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)A Stochastic Approximation Method (1951)Construction and optimality of generalized Youden designs II (1975)Experimental Design: Review and Comment (1984)Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study (2007)The Choice of a Second Order Rotatable Design (1963)Planning Experiments to Detect Inadequate Regression Models (1972)A Generalization of the Response Surface Mean Square Error Criterion with a Specific Application to the Scope (1975)A Mean Squared Error Criterion for the Design of Experiments (1983)On the Efficient Design of Statistical Investigations (1943)Conjectures for Optimal Block Designs (1982)Circuits and Efficiency in Incomplete Block Designs (1983)AN ALGORITHM FOR CONSTRUCTING OPTIMAL RESOLVABLE ROW‐COLUMN DESIGNS (1993)Locally Optimal Designs for Estimating Parameters (1953)Optimal Design (1980)Optimal Bayesian design applied to logistic regression experiments (1989)A Geometric Approach to Optimal Design for One-Parameter Non-Linear Models (1995)A note on the de la Garza phenomenon for locally optimal designs (2010)A note on the de la Garza phenomenon for locally optimal designs (2011)Theory of optimal experiments (1972)General Equivalence Theory for Optimum Designs (Approximate Theory) (1974)Optimum Experimental Designs, with SAS (2007)Results in the Theory and Construction of D -Optimum Experimental Designs (1972)D-Optimality for Regression Designs: A Review (1975)On Augmented Designs (1975)Curve Fitting and Optimal Design for Prediction (1978)Response Surface Methodology: 1966-1988 (1989)D-optimal designs (1995)State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)
this work references cited by second hop

References

  • 1959Optimum Experimental Designs804 cited
  • 1959A Basis for the Selection of a Response Surface Design738 cited
  • 1992Optimum Experimental Designs654 cited
  • 1958On the Nonrandomized Optimality and Randomized Nonoptimality of Symmetrical Designs278 cited
  • 1985Optimum Experimental Designs V, with Applications to Systematic and Rotatable Designs130 cited
  • 1969Minimum Bias Estimation and Experimental Design for Response Surfaces95 cited
  • 1961On the optimality of certain type of PBIB designs.52 cited
  • 1960Optimality Criteria for Incomplete Block Designs51 cited

Cited by

  • 1996A note on Bayesian c- and D-optimal designs in nonlinear regression models45 cited
  • 2009Multiplicative algorithms for computing optimum designs40 cited

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