  In this paper, we investigate the parameter estimation problem for reflected
OU processes. Both the estimates based on continuously observed processes and
discretely observed processes are considered. The explicit formulas for the
estimators are derived using the least squares method. Under some regular
conditions, we obtain the consistency and establish the asymptotic normality
for the estimators. Numerical results show that the proposed estimators perform
well with moderate sample sizes.
