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A CALIBRATION METHOD, BASED ON PIECEWISE RIDGE LS ESTIMATOR DESIGNED FOR DETERMINATION OF OLIVE OIL MIXTURES ON THE BASIS OF NIR SPECTRAL DATA

机译:基于分段脊LS估计的校准方法,旨在基于NIR光谱数据测定橄榄油混合物

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The spectrophotometric analysis of oil mixtures, containing olive oil, is the subject of this paper. Its objective is to propose and evaluate a new methodology for determination of a selected component of such a mixture. According to this methodology, the space of concentration values to be estimated is partitioned into subspaces and the calibration is performed separately for each subspace by means of a new piecewise ridge least-squares estimator. The estimation of concentrations is carried out, using the results of calibration, in two cycles: first, rough estimates of concentrations are found and a corresponding subspace is identified; next, the results of calibration, obtained for this subspace, are used for refining the estimates of concentrations. The performance of the proposed methodology is assessed using a criterion related to measurement uncertainty.
机译:含橄榄油的油混合物分光光度分析是本文的主题。其目的是提出和评估一种新方法,用于测定这种混合物的选定组分。根据该方法,待估计的浓度值的空间被划分为子空间,并且通过新的分段脊最小二乘估计器分别为每个子空间分别执行校准。进行浓度的估计,使用校准结果,在两个循环中:首先,发现浓度的粗略估计,并识别相应的子空间;接下来,获得该子空间的校准结果,用于精制浓度的估计。使用与测量不确定性相关的标准来评估所提出的方法的性能。

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