Abstract
We define a stochastic process in terms of cumulative sums of the sequence of integer-valued random variables in such a way that has a branching structure; in particular when are iid and non-negativeis is a Bienayme-Galton-Watson branching process. We establish distributional limits involving the standard normal distribution for Xn and for , with a variety of standardizations and with various conditioning events. The interplay between the asymptotic behaviour of Xn and that of Tn is central to our investigations
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