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Framework for Kriging‐based iterative experimental analysis and design: Optimization of secretory protein production in Corynebacterium glutamicum
7 references·0 citing·31 second hop
Framework for Kriging‐based iterative experimental analysis and design: Optimization of secretory protein production in Corynebacterium glutamicum (2016)Framework for Kriging‐based iterative exp…Bioprocess optimization using design‐of‐experiments methodology (2008)Bioprocess optimization using…Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction (2006)Optimal network design for sp…Experimental Design for Fermentation Media Development: Statistical Design or Global Random Search? (2000)Experimental Design for Ferme…Strategies for improving fermentation medium performance: a review (1999)Strategies for improving ferm…Model-Based Geostatistics (1998)Model-Based GeostatisticsStatistics for Spatial Data (1993)Statistics for Spatial DataCross validation of kriging in a unique neighborhood (1983)Cross validation of kriging i…THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Some New Three Level Designs for the Study of Quantitative Variables (1960)Empirical Model Building and Response Surfaces (1988)Application of Plackett‐Burman design and response surface methodology to achieve exponential growth for aggregated shipworm bacterium (2004)Experimental design methods for fermentative hydrogen production: A review (2008)Experimental design of supercritical fluid extraction – A review (2013)Design and Analysis of Factorial Experiments (1958)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)Design and Analysis of Experiments (2005)Design of experiments applications in bioprocessing: Concepts and approach (2013)Design of experiments and regression modelling in food flavour and sensory analysis: A review (2017)Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN (2022)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)Making Hard Decisions (2002)Harnessing QbD, Programming Languages, and Automation for Reproducible Biology (2015)Optimization of muscle cell culture media using nonlinear design of experiments (2021)Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)Design and Analysis of Computer Experiments (1989)STATISTICS FOR SPATIAL DATA (1992)Combining Incompatible Spatial Data (2002)Fixed Rank Kriging for Very Large Spatial Data Sets (2008)Gaussian Predictive Process Models for Large Spatial Data Sets (2008)Orthonormal residuals in geostatistics: Model criticism and parameter estimation (1991)Kriging and cross‐validation for massive spatial data (2009)Adaptive design of experiments for global Kriging metamodeling through cross-validation information (2020)Sparse sampling: Spatial design for monitoring stream networks (2008)The importance of accounting for spatial and temporal correlation in analyses of ecological data (2009)Inhibitory geostatistical designs for spatial prediction taking account of uncertain covariance structure (2016)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)
this work references cited by second hop

References

  • 1993Statistics for Spatial Data6,517 cited
  • 1998Model-Based Geostatistics2,224 cited
  • 2008Bioprocess optimization using design‐of‐experiments methodology422 cited
  • 1999Strategies for improving fermentation medium performance: a review323 cited
  • 2000Experimental Design for Fermentation Media Development: Statistical Design or Global Random Search?221 cited
  • 1983Cross validation of kriging in a unique neighborhood204 cited
  • 2006Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction172 cited

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