  This paper provides extensions of the work on subsampling by Bertail et al.
(2004) for strongly mixing case to weakly dependent case by application of the
results of Doukhan and Louhichi (1999). We investigate properties of smooth and
rough subsampling estimators for distributions of converging and extreme
statistics when the underlying time series is {\eta} or {\lambda}-weakly
dependent.
