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Modeling with Data

  • Scott A. Pardo
Chapter

Abstract

Engineers and Applied Scientists (EASs) require mathematical models to predict the value of some critical performance variable or some characteristic of a product or process output. Generally, there are two kinds of variables:

Keywords

Cure Time Apply Scientist Input Point High Order Approximation Noise Standard Deviation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Armitage, P. (1971). Statistical methods in medical research. Oxford: Blackwell Scientific Publications.Google Scholar
  2. Draper, N. R., & Smith, H. (1998). Applied regression analysis (3rd ed.). New York: Wiley.Google Scholar
  3. Dunn, P. F. (2010). Measurement and data analysis for engineering and science (2nd ed.). Boca Raton, FL: Chapman & Hall/CRC Press.Google Scholar
  4. Seber, G. A. F., & Wild, C. J. (1989). Nonlinear regression. New York: Wiley.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Scott A. Pardo
    • 1
  1. 1.Ascensia Diabetes CareParsippanyUSA

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