In this paper, with the notion of independent identically distributed (IID)
random variables under sublinear expectations introduced by Peng [7-9], we
investigate moment bounds for IID sequences under sublinear expectations. We
can obtain a moment inequality for a sequence of IID random variables under
sublinear expectations. As an application of this inequality, we get the
following result: For any continuous function ϕ satisfying the growth
condition ∣ϕ(x)∣≤C(1+∣x∣p) for some C>0, p≥1 depending on
ϕ, central limit theorem under sublinear expectations obtained by Peng [8]
still holds