Abstract
Detection of gross errors in chemical engineering measurements is studied, based on statistical analysis of redundant data. A method of simple evaluation of the gross error detection efficiency is presented. The construction of the power characteristics is illustrated by an example. The study complements the previous authors work on this subject, where the same problem was studied by stochastic simulation.