Is There a Better Curve Fit for NDIR Calibration Data than 4th Order Polynomials? 2003-01-2021
This paper presents a technique for examining “Goodness of Fit” of polynomial least square curves using “errorless” data. (The errors in “real world” data tend to mask a polynomial curve's lack of fit). A method of assessing the “quality” of real data before attempting to fit a curve to the data is also presented. If data “quality” proves satisfactory, a cubic spline curve can be generated which provides a much better fit to the data than can ever be attained using polynomial curves.
Citation: Dageforde, A., Sherman, M., and Asano, I., "Is There a Better Curve Fit for NDIR Calibration Data than 4th Order Polynomials?," SAE Technical Paper 2003-01-2021, 2003, https://doi.org/10.4271/2003-01-2021. Download Citation
Author(s):
Allen Dageforde, Michael T. Sherman, Ichiro Asano
Affiliated:
Horiba Instruments, Inc., Ford Motor Company, HORIBA, Ltd.
Pages: 17
Event:
2003 JSAE/SAE International Spring Fuels and Lubricants Meeting
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Splines
Calibration
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