  The complete convergence for weighted sums of sequences of independent,
identically distributed random variables under sublinear expectations space was
studied. By moment inequality and truncation methods, we establish the
equivalent conditions of complete convergence for weighted sums of sequences of
independent, identically distributed random variables under sublinear
expectations space. The results extend the corresponding results obtained by
Guo (2012) to those for sequences of independent, identically distributed
random variables under sublinear expectations space.
