Study on outlier detection method of the near infrared spectroscopy analysis by probability metric.

Due to the high dimensionality and non-linearity of the near infrared (NIR) spectra data result the difficulty of the outlier measure. This paper proposed a probability based outlier detection method, which adopted the distribution probability of the spectra data to identify outliers at each wavelength by using of copula function. The negative logarithmic function was also used to quantify the overall variation of the joint distribution for the outliers.