Methodology for Introducing Corrections in Statistical Studies Based on Control Charts

Abstract

It is shown that changes in conditions during an experiment can go unnoticed and how anomalous measurements arise that can lead to incorrect values containing gross errors. It is interpreted that distortion of measurements may be a consequence of incorrect operation of recording devices; if a fault is detected, such values should be discarded. The problems of the uncertainty of information on input data in calculations using classical methods are outlined. The influence of the deviation of external impacts from nominal values, variability of emission intensity, and the nonlinear nature of influence of external factors on the probability of an event were studied.