RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition

By M. Anderson. 2004

684 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/2ab296dcbe7bd356c7a5ceadcacc768135644a65

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. J. S. Scott-Craig
2. Jonathan D. Walton
3. T. J. Evens
4. G. Banerjee
5. R. Niedz

In Computational Theory and Mathematics

1. J. S. Scott-Craig
2. Jonathan D. Walton
3. T. J. Evens
4. G. Banerjee
5. R. Niedz

In Management Science and Operations Research

1. J. S. Scott-Craig
2. Jonathan D. Walton
3. T. J. Evens
4. G. Banerjee
5. R. Niedz

Citations in the corpus

• Regulating plant tissue growth by mineral nutrition (2007, methodology): “high leverage points), thus resulting in a model fitted more to the high leverage points than to the majority of points in the data set (Anderson and Whitcomb 2005).”
• Improving Enzymes for Biomass Conversion: A Basic Research Perspective (2010, methodology): “Robotically-assisted assays and sugar measurements, combined with appropriate statistical methods such as response surface methodology make this task practical and meaningful [2, 17, 30, 34].”