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Design Space of Pharmaceutical Processes Using Data-Driven-Based Methods
11 references·0 citing·25 second hop
Design Space of Pharmaceutical Processes Using Data-Driven-Based Methods (2010)Design Space of Pharmaceutical Processes …Assessment of high dimensional model representation techniques for reliability analysis (2008)Assessment of high dimensiona…Theorems and examples on high dimensional model representation (2003)Theorems and examples on high…Practical Approaches To Construct RS-HDMR Component Functions (2002)Practical Approaches To Const…High Dimensional Model Representations (2001)High Dimensional Model Repres…General foundations of high‐dimensional model representations (1999)General foundations of high‐d…Efficient input—output model representations (1999)Efficient input—output model …Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…Statistics for Spatial Data (1993)Statistics for Spatial DataOn the Experimental Attainment of Optimum Conditions (1992)On the Experimental Attainmen…On the Experimental Attainment of Optimum Conditions (1951)On the Experimental Attainmen…Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)Estimating the approximation error when fixing unessential factors in global sensitivity analysis (2006)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Sensitivity analysis for volcanic source modeling quality assessment and model selection (2012)Statistics for Experimenters (1979)Design and Analysis of Experiments (1998)Modeling and optimization I: Usability of response surface methodology (2006)Response surface methodology (2010)Stochastic Finite Elements: A Spectral Approach (1991)GUI–HDMR – A software tool for global sensitivity analysis of complex models (2008)An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations (2010)Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)Design of Experiments (1936)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Some New Three Level Designs for the Study of Quantitative Variables (1960)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)Importance measures in global sensitivity analysis of nonlinear models (1996)Sensitivity Analysis for Chemical Models (2005)A new uncertainty importance measure (2006)State Dependent Parameter metamodelling and sensitivity analysis (2007)Multivariable geostatistics in S: the gstat package (2004)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Research Issues and Ideas in Statistical Process Control (1999)Factorial Sampling Plans for Preliminary Computational Experiments (1991)
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References

  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments9,540 cited
  • 1993Statistics for Spatial Data6,517 cited
  • 1951On the Experimental Attainment of Optimum Conditions4,621 cited
  • 1992On the Experimental Attainment of Optimum Conditions3,451 cited
  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments3,255 cited
  • 1999General foundations of high‐dimensional model representations905 cited
  • 2001High Dimensional Model Representations497 cited
  • 1999Efficient input—output model representations462 cited
  • 2003Theorems and examples on high dimensional model representation450 cited
  • 2002Practical Approaches To Construct RS-HDMR Component Functions275 cited
  • 2008Assessment of high dimensional model representation techniques for reliability analysis75 cited

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