Identification of Non-Polynomial Calibration Dependence Accounting for Instrumental Uncertainties of Measuring Instruments

An algorithm for the identification of non-polynomial calibration dependences, which can be reduced to linear dependences by change of variables, has been developed. The parameters of linear dependences are found by the least-squares method. An algorithm for measurement uncertainty evaluation using the identified dependence is given, accounting for the instrumental measurement uncertainties of the responses of the calibrated measuring instrument and the values of the calibration points.