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Signal curve fitting was done using the software Origin (OriginLab, Northampton, MA, USA; http://www.originlab.com/).
Polynomial model fitting was done for each response, and the best fit model was determined and suggested by the software.
Distribution fitting was done with MATLAB's Statistics and Machine Learning Toolbox [32], i.e. the fitdist built-in function, based on maximum-likelihood parameter estimation.
Tests were done to study the morphology, compressive strength based on combined gradation, clay content percentage and Rietveld curve fitting was done to identify the major constituents in the sandstone aggregate.
All curve fitting was done by least-squares methods.
The normalized autocorrelation function was calculated by equation 8. Curve fitting was done in Origin 7.0 (OriginLabs Corp ,MA, USA).
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Quadratic curve fitting is done on the phase, the fitting result is illustrated in Figure 7. Figure 7 Fitting of the phase.
From this figure, three curves fitting were done, namely; linear, exponential and polynomial, while Eqs.
From this figure, three curves fitting were done, namely; linear, exponential and polynomial.
The curve fitting is done on the interval from t = 700 to t = 1100 with the exponential function and logarithmic function in solid blue and solid red lines, respectively.
All statistical analysis and curve fitting were done in GraphPad Prism.
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