Maximum time interval error assessment based on the sequential reducing data volume

This paper deals with the problem of efficient assessment of maximum time interval error (MTIE) for a series of observation intervals. The method expands the concept of the extreme fix method, which also is briefly described. Then the idea of the extreme fix with sequential data reducing method of MTIE estimate calculation is thoroughly developed. The mechanism of sequential reducing data volume is explained. The time efficiency of the method proposed is evaluated through comparison of the time taken to compute MTIE estimate by means of this method and the method resulting directly from the MTIE estimator formula (the direct method) as well as the extreme fix method of the MTIE estimate calculation. Distinctive performance of the method proposed is confirmed by the MTIE calculation experiment.