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Efficient approximation method for constructing quadratic response surface model
4 references·0 citing·17 second hop
Efficient approximation method for constructing quadratic response surface model (2001)Efficient approximation method for constr…Response surface model building and multidisciplinary optimization using D-optimal designs (1998)Response surface model buildi…Empirical Model-Building and Response Surfaces. (1988)Empirical Model-Building and …Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Factorial Designs, the |X′X| Criterion, and Some Related Matters (1971)Factorial Designs, the |X′X| …Design and Analysis of Industrial Experiments. (1955)A Basis for the Selection of a Response Surface Design (1959)Optimum Designs in Regression Problems (1959)Pseudorandom Number Assignment in Statistically Designed Simulation and Distribution Sampling Experiments (1978)The Application of the Annealing Algorithm to the Construction of Exact Optimal Designs for Linear – Regression Models (1987)Small Response-Surface Designs (1990)Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)System Risk Assessment and Allocation in Conceptual Design (2003)Optimal rapid multidisciplinary response networks: RAPIDDISK (2004)Probabilistic Design of Multidisciplinary Systems (2007)Statistics for Experimenters (1979)Response Surfaces: Designs and Analyses (1997)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data (2014)Three-level meta-analysis of dependent effect sizes (2012)A Review on Global Sensitivity Analysis Methods (2015)
this work references cited by second hop

References

  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1988Empirical Model-Building and Response Surfaces.1,894 cited
  • 1971Factorial Designs, the |X′X| Criterion, and Some Related Matters221 cited
  • 1998Response surface model building and multidisciplinary optimization using D-optimal designs70 cited

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