Information variation during the measurement process

Quality of results of physical measuring system is analysed mathematically in this publication. Analysis of information amount function shows that information amount on measurement errors obtained from closing error is decreasing when accuracy of measurement is increasing, while calibration errors of the system stay constant. Errors of calibration describe information amount obtained during the time of measurement. Based on curvature of information amount function the optimal measurement accuracy variant is obtained when the ratio of errors of measurement and calibration is equal to three. The impact of tolerance on measurement information amount is demonstrated.