Regression by least median squares in the calculation of transition times for calibration in chronopotentiometry

The ability of the least median squares (LMS) method in detection of several straight segments in experimental continuous curves is tested using chronopotentiometric data. As a common experimental system, the chronopotentiometric reduction of Fe(CN) 63− on a Pt electrode is used for this purpose. LMS allows for the correct estimation of transition times and then, for the calibration of the system. LS calibration without outliers detected by LMS assures a better prediction and therefore better calibration quality, because the standard error of estimation is 32.43% less than one obtained with the whole data.