|
Working with Color Readings: Application of Regression Models for Determining the Concentration of SubstanceDOI: 10.4236/oalib.1104377, PP. 1-10 Subject Areas: Mathematical Statistics, Mathematical Analysis Keywords: Stepwise Regression, Statistical Test, Colorimetry, Concentration of Substances Abstract
This study first
considered using 5 dimensions/variables of color readings (including blue,
green, saturation, red, hue) to predict the concentration of matter. The
procedure was demonstrated using internet acquired data in the public domain. A
stepwise regression method based on software MATLAB was used to build a model
to predict the concentration of the sulfur dioxide. In the course of the study,
we also discussed other linear or non-linear models to predict the
concentration of the sulfur dioxide, but these models didn’t perform as the former,
which may be due to the strong collinearity between the original data
variables. Statistical test results of the model including the number of
observations, root mean squared error, adjusted R-square, F-statistic vs
constant model were shown to assess the reliability. We also carried out error
analysis and discussion.
Pan, X. and Cui, Y. (2018). Working with Color Readings: Application of Regression Models for Determining the Concentration of Substance. Open Access Library Journal, 5, e4377. doi: http://dx.doi.org/10.4236/oalib.1104377. References
comments powered by Disqus |