Recovering Gaps in Test Results and Identification of Operator Staff
The article addresses the problem of the restoration of missed values in the results of testing the recipients given by the time series. As experimental data, the time series with spaces are given. Recovery efficiency is estimated by the relative error of the recovered value. Examples of restoration missing data in the time series table and the individual time series are given. Used simple methods for replacing missed value by average, weighted average and median.