The first type can be used within applications of calibration of models of urban drainage systems, while the second type is needed for design purposes.
The application of a calibration step in analysis successfully corrected this, resulting in a significantly improved classifier.
This paper concerns a first attempt of application of multivariate calibration to the field of cultural heritage for the determination of the superficial pigments composition of a painting.
After application of these calibration corrections, the sedimentation coefficients obtained from 11 instruments displayed a significantly reduced standard deviation of approximately 0.7%.
Raking ratio estimation can be viewed as a special application of the calibration method, where the auxiliary information is in the form of known marginal totals of a contingency table of two or more dimensions.
Several key assumptions need to be met for valid application of regression calibration.
This would potentially necessitate the application of multivariate calibration techniques to unscramble the specific contributions in a spectral dataset.
Importantly, this approach allows the application of optical calibration so that C t -based absolute quantification can be conducted without standard curves.
Mg, Ca, V, Zn, Cu, Na, and K were determined by application of a calibration curve using working standard solutions, which were obtained from a stock atomic absorption standard solutions containing 1000 μg Mg, Ca, V, Zn, Cu, Na, and K/mL by dilution with 5% (v/v) HNO3.
Using near-infrared (NIR) spectroscopy for quantitative analysis requires the application of multivariate-calibration techniques and careful selection of representative samples in order to construct accurate calibration models from NIR spectra using partial least squares (PLS).
