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ChapterOptimum Multivariate Designs

R. H. Farrell1985

Chapter1985

Optimum Multivariate Designs

R. H. Farrell · J. Kiefer · A. Walbran

105 citations·0/0 files stored·Springer eBooks

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Optimal Experimental Design Methods Statistical Methods and Applications Advanced Statistical Methods and Models

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References

1959Optimum Experimental Designs 1952Orthogonal Arrays of Strength two and three 1961Optimum Designs in Regression Problems, II 1960Simplex-Sum Designs: A Class of Second Order Rotatable Designs Derivable From Those of First Order 1958Efficiency Problems in Polynomial Estimation 1985Optimum Experimental Designs V, with Applications to Systematic and Rotatable Designs

Cited by

1976Which Response Surface Design Is Best: A Performance Comparison of Several Types of Quadratic Response Surface Designs in Symmetric Regions 1974Optimum Composite Designs 1972Planning Experiments to Detect Inadequate Regression Models 1982Center Points in Second-Order Response Surface Designs 1975Experimental Designs for Quadratic Models in Constrained Mixture Spaces 2014Minimax optimal designs via particle swarm optimization methods 2001One hundred years of the design of experiments on and off the pages of Biometrika 1997

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1985Optimum Experimental Designs V, with Applications to Systematic and Rotatable Designschapter · 3 shared references 1977Comparison of Simplex Designs for Quadratic Mixture Modelsarticle · 3 shared references 1964Optimum extrapolation and interpolation designs, Iarticle · 3 shared references 1975D-Optimality for Regression Designs: A Reviewarticle · 2 shared references 1972Results in the Theory and Construction of D -Optimum Experimental Designsarticle · 2 shared references 1971Optimal Experimental Design for Polynomial Regressionarticle · 2 shared references

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Year1985

Typechapter

Published1985-01-01

VenueSpringer eBooks

Languageen

Citations105

Files0 public / 0

ShelfOptimal Experimental Design Methods

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doi10.1007/978-1-4615-6660-1_13

openalex_workW1539777195

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Designs of Mixed Resolution for Process Robustness Studies