Sentence examples for multivariate calibration model from inspiring English sources

Method (II) is based on the inverse least squares that depend on updating developed multivariate calibration model.

However, any change in the instrumental response or variations in the measurement conditions can render a multivariate calibration model invalid.

Therefore, once a reliable multivariate calibration model is established, it is expected to be used for an extended period.

In addition, the developed multivariate calibration model has been updated to determine Metronidazole benzoate (METB) in its binary mixture with DF in Dimetrol® suspension.

The evaluation of a candidate sensor array is based on its multivariate calibration model, which is efficiently estimated from well-designed simulation experiments.

The minimum number of samples needed to efficiently update the developed model must be accurately determined and the influence of number of samples added to the calibration set on RMSEP was studied for the developed multivariate calibration model.

The development of reliable multivariate calibration models is generally time-consuming and costly.

Multivariate calibration models were carried out including partial least squares regression (PLS) and interval partial least-squares (iPLS).

Quantification of the enzymatically released monosaccharides by HPLC was used to design multivariate calibration models (biPLS) on the NIR spectra.

First-order multivariate calibration models were built using net analyte pre-processing followed by classical least-squared regression (NAP/CLS) method.

An improved genetic algorithms (GAs) is used to implement an automated wavelength selection procedure for use in building multivariate calibration models based on partial least squares regression.