Derandomizing and Rerandomizing Variance Estimators
S. G. Henderson and P. W. Glynn
Technical Report, Department of Operations Research, Stanford University (1996)
This technical report is meant to accompany the paper  and should be read in conjuction with that work. It describes several concepts which were alluded to in  but not elaborated on.
We give algorithms for computing the derandomized estimator and, introduce the concept of reramdomizaion, examine heuristically the question of how the derandomized and standard variance estimators behave as the splitting constants get small, and consider the use of the derandomized estimator in sequential stopping situations.
 S. G. Henderson and P. W. Glynn: Derandomized variance estimators. Operations Research. Vol. 47 (6), 907-916 (1999)