PropertyValue
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://www.w3.org/ns/prov#value
  • Analyses and metrics that can used to ensure that the candidate enrollment samples are good (i.e. consistent with the calibration data) include Mahalanobis distance, Euclidean distance, residuals of the enrollment spectra when fit by the calibration factors, cluster analysis and other methods that are known to one of ordinary skill in the art (see for example, Multivariate Calibration by Martens a
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