There are many methods for detection and estimation of control valve stiction. There exists, however, to the best of authors' knowledge, no method to determine the statistical property of the stiction detection and estimation. The challenge lies in the memory nonlinearity of the stiction that creates difficulty in determining statistical property of the estimation. In this work, a bootstrap based approach is used to estimate the statistical distribution of stiction parameter estimation. The method is applied to a simulation example as well as several industry data sets to demonstrate its effectiveness. (C) 2011 Elsevier Ltd. All rights reserved.