Curve Fitting Task

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A Curve Fitting Task is a function fitting task that is restricted to surface functions.



References

2015

  1. Sandra Lach Arlinghaus, PHB Practical Handbook of Curve Fitting. CRC Press, 1994.
  2. William M. Kolb. Curve Fitting for Programmable Calculators. Syntec, Incorporated, 1984.
  3. S.S. Halli, K.V. Rao. 1992. Advanced Techniques of Population Analysis. isbn 0306439972 Page 165 (cf. … functions are fulfilled if we have a good to moderate fit for the observed data.)
  4. [http://books.google.com/books?id=SI-VqAT4_hYC The Signal and the Noise: Why So Many Predictions Fail-but Some Don't. By Nate Silver
  5. Data Preparation for Data Mining: Text. By Dorian Pyle.
  6. Numerical Methods in Engineering with MATLAB®. By Jaan Kiusalaas. Page 24.
  7. Numerical Methods in Engineering with Python 3. By Jaan Kiusalaas. Page 21.
  8. Numerical Methods of Curve Fitting. By P. G. Guest, Philip George Guest. Page 349.
  9. See also: Mollifier
  10. Fitting Models to Biological Data Using Linear and Nonlinear Regression. By Harvey Motulsky, Arthur Christopoulos.
  11. Regression Analysis By Rudolf J. Freund, William J. Wilson, Ping Sa. Page 269.
  12. Visual Informatics. Edited by Halimah Badioze Zaman, Peter Robinson, Maria Petrou, Patrick Olivier, Heiko Schröder. Page 689.
  13. Numerical Methods for Nonlinear Engineering Models. By John R. Hauser. Page 227.
  14. Methods of Experimental Physics: Spectroscopy, Volume 13, Part 1. By Claire Marton. Page 150.
  15. Encyclopedia of Research Design, Volume 1. Edited by Neil J. Salkind. Page 266.
  16. Community Analysis and Planning Techniques. By Richard E. Klosterman. Page 1.
  17. An Introduction to Risk and Uncertainty in the Evaluation of Environmental Investments. DIANE Publishing. Pg 69


  • (Allain, 2015) ⇒ Rhett Allain. (2015). “An Ode to the Graph, Physics’ Underappreciated Workhorse.” In: Wired, 2015-06-03
    • QUOTE: … if you fit a linear equation to that data, what would the slope represent? ...
      • Plotting data as a linear graph is a great way to examine the validity of a model.
      • Sometimes you will have to do something to the variables in order to make the plot a linear function (like squaring both sides of the model).
      • The slope of the linear function that fits the data actually means something. Find the slope and find out what it represents (and check it).